Registered Nurse (RN) - Outpatient Primary Care

Make a Meaningful Impact in Community Health

Join a mission-driven organization with a 50-year legacy of advancing community health.AACI is committed to delivering high-quality, equitable, patient-centered care in a stableand supportive clinical environment where nurses are valued and empowered to practiceat the top of their license.

Despite changes in healthcare policy and funding, our commitment to safety, qualityoutcomes, and compassionate care remains unwavering, so that our diverse communitycan thrive.

Why Join AACI 12 paid holidays, a floating holiday, paid vacation, and sick time Consistent weekday schedule supporting work-life balance Two medical plan options with 95% of premiums covered 403(b) retirement plan with employer match Public Service Loan Forgiveness (PSLF) eligibility Join our team and make a direct impact on the health of our community. As a Registered Nurse (RN), you will work closely with physicians to provide compassionate, high-quality care to patients of all ages, from children to older adults, in an outpatient primary care setting. In this role, you will oversee ancillary staff, deliver integrated nursing services, and ensure seamless support for those we serve.

Your responsibilities will include triaging patients, administering vaccines, and leading health education efforts that promote well-being across our diverse community. This is an opportunity to use your skills in a meaningful way while contributing to a team committed to equitable, patient-centered care.

Qualifications Bachelor of Science in Nursing (BSN) degree preferred Active Registered Nurse (RN) license in the State of California required 2 years of nursing experience, preferably in primary care or outpatient settings Current Basic Life Support (BLS) certification required Advanced Cardiovascular Life Support (ACLS) certification preferred Pediatric Advanced Life Support (PALS) certification preferred To apply:

Posted by the FREE value-added recruitment advertising agency je-04d5e95[phone removed]d93d61fc86494
Employment Type: Full Time Read Less

Introduction
Our client is a general practice seeking a full-time Lead Veterinarian to join their team. The hospital provides care for dogs and cats and is looking for an experienced veterinarian to take on a leadership role within a new clinic in San Jose.

Role Description and Responsibilities
The Lead Veterinarian will dedicate approximately 85% of their time to clinical duties and 15% to leadership responsibilities. Clinical work includes a range of general practice services such as wellness exams, surgery, dentistry, diagnostics, and preventative care. In addition to clinical responsibilities, the role involves mentoring and developing associate veterinarians, leading daily rounds, and conducting regular team meetings to foster a positive culture. The Lead Veterinarian will also collaborate with leadership on budgeting, staffing, and hospital productivity, oversee medical procedures and guidelines, support recruitment efforts, and ensure the delivery of high-quality, patient- and client-centered care. This role is suited to an experienced veterinarian.

Practice Details
This is a new general practice hospital in San Jose that is not yet open. The clinic will provide a wide range of services including wellness care, vaccinations, surgery, dentistry, diagnostics, dermatology, behavioral consultations, nutritional counseling, oncology diagnostics, microchipping, spaying and neutering, euthanasia, and travel documentation. The practice is focused on delivering high-quality, efficient, and compassionate care while empowering veterinarians with autonomy and supporting a collaborative and positive culture. The hospital aims to build a strong, community-focused environment with a commitment to excellence and continuous development.

Team
The team will be comprised of talented and experienced veterinarians supported by additional staff, with a focus on collaboration, mentorship, and building a positive and supportive hospital culture.

Candidate Requirements

Must hold the relevant degree(s) and additional qualifications to work as a veterinarian in the United States of America (USA) Must hold, be in the process of, or be able to obtain, a state license for the state they are applying to work in Must have the right to work in the United States of America (USA), or be able to obtain the required visa to do so

About Tempus Recruitment

This is a brief overview of the role, therefore we fully appreciate there are always more questions to be asked about the job, the company, and so on. We assure you that Tempus Recruitment are here to help and are more than happy to get those questions answered for you in advance of any potential interviews. We are here to make the recruitment process simple and stress free, working with our clients to ensure that you have all the information you need before formally making an application.

Haven't Worked with a Recruiter Before? No Problem!

All communication is 100% private and confidential Our service is completely FREE for candidates looking for a new job We have exclusive roles not being advertised publicly We tailor job searches to your specific needs, therefore you will only get sent roles that match your requirements

What Happens Next

Interested in this position or others that we can offer? Apply now or request a call back!

One of our expert recruiters will reach out to you to gather all the relevant information regarding your search. This will then allow us to put together a tailored jobs list based on your requirements.

#IHTVRP

The Package

Salary up to $200,000 (Annual)

Competitive annual salary up to $200k 22% production Access to a coaching platform Unlimited CE & 3 CE days Medical, dental, and vision insurance 401k match Friendly employee discounts on veterinary services and products Coverage of malpractice insurance, state license dues, and DEA dues Paid sabbatical program 15 PTO days without negative accrual Paid parental leave Urbansitter.com premium membership Annual childcare stipends Access to a coaching platform

Hours: Full Time

Employment Type: Full Time Read Less

Schedule: Full-Time
Salary Range: USD $125000.00 - $221000.00
Job Category: Legal

Description

This role is primarily remote in the state of California except for required appearances.

At Liberty Mutual, we're committed to delivering exceptional legal services to our customers around the world, working to uphold and protect our policyholders' rights and positively impacting our business. As an Attorney at Liberty Mutual, you'll join a diverse team that values a healthy work/life balance and enjoy benefits that include eligible performance bonuses, 20 days of flexible time off each year, personal holidays, and a 401(k) plan with matching contributions. If you're looking for a place to build a long-term career while making a positive difference, consider joining our legal team where you'll represent Liberty Mutual and our policyholders in moderately complex civil litigation matters involving claims for monetary damages or compensation for personal injuries or property damage of moderate value.

Liberty Mutual is seeking a skilled and proactive Attorney to independently manage moderately complex civil litigation matters. This role requires a deep understanding of legal principles and insurance law, strategic case management, advanced technology utilization, and strong client relationship skills. The Attorney will develop and execute sophisticated legal strategies, lead settlement negotiations, mentor junior attorneys, and contribute to organizational improvements while maintaining the highest standards of legal ethics and compliance.

Responsibilities:

Litigation Management and Execution: Independently manage all phases of litigation involving claims of moderate to heavy value. Conduct comprehensive legal research, draft precise pleadings, motions, and other legal documents. Lead settlement negotiations and participate in hearings, trials, and mediations to achieve optimal case outcomes. Litigation Support: Support Senior Trial Counsel and Senior Litigation Counsel in all aspects of case handling through trial, including preparation, management, and assistance at every stage of the litigation process. Legal Strategy Development: Develop, implement, and continuously refine advanced legal strategies for discovery, investigation, and trial preparation. Technology Utilization: Employ advanced e-discovery tools, case management systems, and data analysis software to streamline workflows and reduce costs. Client Advisory and Relationship Management: Provide clear, well-reasoned legal opinions and strategic advice to clients and Claims Representatives. Build and sustain trusted relationships by understanding client operations and legal challenges. Risk Evaluation and Mitigation: Identify, evaluate, and mitigate legal risks associated with cases in collaboration with clients and senior attorneys. Training, Mentoring, and Leadership: Design and conduct training sessions and workshops for Legal, Claims, and related departments. Mentor junior attorneys and legal support staff, offering guidance and direction to elevate team performance. Documentation and Compliance: Ensure all legal documents are meticulously prepared, accurate, and compliant with relevant laws, regulations, and company policies. Adhere strictly to ethical guidelines, licensing requirements, and the Model Rules of Professional Conduct (MRPC). Organizational Improvement and Innovation: Identify and implement opportunities for process automation and workflow enhancements. Qualifications Juris Doctor (JD) or LLB degree from an accredited law school. Admission to the bar in California and in good standing; special licenses to practice before particular boards or federal courts may be required. Minimum of 5 years of successful trial attorney experience, preferably within insurance law and related litigation. Proven experience managing moderately complex litigation with demonstrated success in achieving favorable outcomes. General knowledge of insurance law, and as necessary, workers' compensation and/or No Fault law. Exceptional legal research, writing, negotiation, and analytical skills. Proficient in advanced e-discovery tools, legal case management software, and remote collaboration technologies. Demonstrated ability to mentor and lead junior attorneys and legal staff. Excellent communication, interpersonal, and client relationship management skills. Commitment to ethical legal practice and compliance with all regulatory and professional standards. About Us

Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.

At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.

We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being.

Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.

Fair Chance Notices California Los Angeles Incorporated Los Angeles Unincorporated Philadelphia San Francisco Employment Type: Full Time Read Less

San José State University is seeking a Senior Director, Project Programming to lead the planning and delivery of transformative capital projects across our vibrant Silicon Valley campus. This executive leadership role offers the opportunity to shape the University's future by guiding major construction initiatives, driving strategic campus development, and leading a high-performing team.

Equal Employment Statement:

SJSU is an Equal Opportunity Affirmative Action employer. We consider qualified applicants for employment without regard to race, color, religion, national origin, age, gender, gender identity/expression, sexual orientation, genetic information, medical condition, marital status, veteran status, or disability.

It is the policy of SJSU to provide reasonable accommodations for applicants with disabilities who self-disclose.

Employment Type: Full Time
Salary: $192,000 - $215,256 Annual
Bonus/Commission: No Read Less

South Bay Animal Hospital and Pet Resort is a beautiful, state-of-the-art, PROGRESSIVE veterinary practice and pet resort in the heart of Silicon Valley. We take pride in our advanced diagnostics, equipment and services. Our caseload includes everything from wellness exams to internal medicine, specialty services to emergency and critical care. We pride ourselves on being a "one-stop-shop" for all your pets' needs and are open 24 hours a day, 7 days a week. 

We are expanding and have increased our caseload, particularly in the areas of neurology, surgery, and critical care. SBAH is seeking full-time (part-time will be considered), amazing veterinary nurses for several opportunities for Registered Veterinary Technicians and mid to high-level skilled technicians for our practice (both emergency and daytime). 

Though we are a very large facility, it is important for us to maintain a culture of family with our clients, pets, and staff. We are looking for individuals who enjoy their clients, are thorough, and will take their time to ensure client satisfaction as well as the overall well-being of each pet.

We are not like other emergency hospitals!All clients and patients are seen in a timely manner, with the utmost respect, dignity, and empathy. All of our team members are highly compassionate for every pet, every client and their fellow coworkers. Everyone is treated with RESPECT. 

We offer a highly competitive salary, benefits package, bonuses, alternative scheduling, and continuing education.

To be considered, you must be currently/experience working as a veterinary technician or be currently enrolled in a Veterinary Technology program. All candidates must be able to work weekend shifts and occasional holidays. 

Family-work balance is important to us!! South Bay Animal Hospital & Pet Resort participates in alternative work scheduling providing 4 shifts of 10 hours and three days off a week to full-time employees!! 

Interested? Please reach out! We would love to hear from you. 

Employment Type: Full Time
Salary: $17 - $30 Hourly
Bonus/Commission: No Read Less

Company Description

Find out more about the daily tasks, overall responsibilities, and required experience for this opportunity by scrolling down now.

“Invented for Life” drives us at Bosch and our vision of future mobility. Autonomous vehicles will change the way we move and at Bosch we are working on making this future a reality. We are now growing our team to solve some of the hardest automated driving problems, and are looking for experts for product engineering of AI-based Autonomous Driving systems.

Job Description

As the Senior Principal Engineer, E2E AI Training Framework for Autonomous Driving Systems, you will spearhead the development and optimization of the machinery that efficiently trains, optimizes, tests, and releases various E2E AI-based products (e.g. parking, driving, interior sensing) for different trim levels (entry, mid and high) within our L2+ ADAS stack. You will be responsible for defining and driving the technological roadmap for the AI machinery, ensuring its scalability, reliability, and performance. The ideal candidate must have prior industry experience in releasing AI-based L2+ systems, with a proven track record of translating innovative research into production-grade solutions.

Key Responsibilities

Define and drive execution of the technical roadmap and strategy for the E2E AI machinery, including training pipelines, optimization techniques, simulation and MLOps tooling.Oversee the design, development, and testing of the E2E AI machinery and its interaction with data sources, model repositories, and development targets.Collaborate closely with other functional tech leads (e.g. data engineering, infrastructure) to define and drive the overall architecture of the AI machinery ecosystem.Guide the set-up of a development framework that enables fast evaluation and integration of emerging E2E AI solutions.Guide the transition from research prototypes to production-ready solutions, ensuring performance optimization on automotive-grade hardware and scalability.Leverage your prior industry experience in launching AI-based L2+ systems to implement best practices in system validation, testing (SIL/HIL), and continuous improvement.Mentor and lead a high-caliber team of AI scientists and engineers, fostering a culture of innovation, collaboration, and technical excellence.

Qualifications

Basic Qualifications:

Master’s degree or Ph.D in Computer Science, Robotics, Electrical Engineering, AI, or a closely related field with a focus on autonomous systems10+ years of experience in software development and system engineering for autonomous driving or ADAS applicationsProven industry experience in releasing AI-based L2+ systems, with a strong track record of successful product deploymentsDeep knowledge of E2E AI stack solutions and training algorithms, including reinforcement learning, and imitation learning, as well as motion control and optimization techniquesDeep knowledge of AI frameworks such as TensorFlow and PyTorchDeep knowledge in model optimization and embedded deployment of E2E AI stacks to embedded automotive hardwareDeep knowledge of cloud-based scalable training pipelines, MLOps, and CICD for training AI models with large-scale fleet datasetsProven track record of leading the end-to-end development and successful deployment of complex AI-powered systems into production environments at scale

Preferred Qualifications:

Experience with simulation tools and testing methodologies (SIL/HIL) for autonomous systems.Proficiency in programming languages such as Python and C++.Strong understanding of automotive safety standards (ISO 26262, ASIL) and regulatory requirements for ADAS.Exceptional leadership and communication skills, with the ability to inspire and manage cross-functional teams.Strategic thinker with strong problem-solving abilities and a passion for innovation in autonomous driving technology.

Additional Information

The U.S. base salary range for this full-time position is $240,000 - $320,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. This range does not include annual bonus percentage nor any other monetary considerations for the total compensation package. Your Recruiter can share more details about the specific salary range for this position during the interview process.

In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; long term disability insurance; paid time off; parental leave. Pay ranges included in the postings, when included, generally reflect base salary; certain positions may include bonus, or additional benefits.

Equal Opportunity Employer, including disability / veterans

*Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. xzbcwsv Candidates who have been offered the position must pass both screenings before their start date.

#LI-JM1 Read Less

Company Description

Find out more about the daily tasks, overall responsibilities, and required experience for this opportunity by scrolling down now.

“Invented for Life” drives us at Bosch and our vision of future mobility. Autonomous vehicles will change the way we move and at Bosch we are working on making this future a reality. We are now growing our team to solve some of the hardest automated driving problems, and are looking for experts for product engineering of AI-based Autonomous Driving systems.

Job Description

As the Senior Principal Engineer, E2E AI Training Framework for Autonomous Driving Systems, you will spearhead the development and optimization of the machinery that efficiently trains, optimizes, tests, and releases various E2E AI-based products (e.g. parking, driving, interior sensing) for different trim levels (entry, mid and high) within our L2+ ADAS stack. You will be responsible for defining and driving the technological roadmap for the AI machinery, ensuring its scalability, reliability, and performance. The ideal candidate must have prior industry experience in releasing AI-based L2+ systems, with a proven track record of translating innovative research into production-grade solutions.

Key Responsibilities

Define and drive execution of the technical roadmap and strategy for the E2E AI machinery, including training pipelines, optimization techniques, simulation and MLOps tooling.Oversee the design, development, and testing of the E2E AI machinery and its interaction with data sources, model repositories, and development targets.Collaborate closely with other functional tech leads (e.g. data engineering, infrastructure) to define and drive the overall architecture of the AI machinery ecosystem.Guide the set-up of a development framework that enables fast evaluation and integration of emerging E2E AI solutions.Guide the transition from research prototypes to production-ready solutions, ensuring performance optimization on automotive-grade hardware and scalability.Leverage your prior industry experience in launching AI-based L2+ systems to implement best practices in system validation, testing (SIL/HIL), and continuous improvement.Mentor and lead a high-caliber team of AI scientists and engineers, fostering a culture of innovation, collaboration, and technical excellence.

Qualifications

Basic Qualifications:

Master’s degree or Ph.D in Computer Science, Robotics, Electrical Engineering, AI, or a closely related field with a focus on autonomous systems10+ years of experience in software development and system engineering for autonomous driving or ADAS applicationsProven industry experience in releasing AI-based L2+ systems, with a strong track record of successful product deploymentsDeep knowledge of E2E AI stack solutions and training algorithms, including reinforcement learning, and imitation learning, as well as motion control and optimization techniquesDeep knowledge of AI frameworks such as TensorFlow and PyTorchDeep knowledge in model optimization and embedded deployment of E2E AI stacks to embedded automotive hardwareDeep knowledge of cloud-based scalable training pipelines, MLOps, and CICD for training AI models with large-scale fleet datasetsProven track record of leading the end-to-end development and successful deployment of complex AI-powered systems into production environments at scale

Preferred Qualifications:

Experience with simulation tools and testing methodologies (SIL/HIL) for autonomous systems.Proficiency in programming languages such as Python and C++.Strong understanding of automotive safety standards (ISO 26262, ASIL) and regulatory requirements for ADAS.Exceptional leadership and communication skills, with the ability to inspire and manage cross-functional teams.Strategic thinker with strong problem-solving abilities and a passion for innovation in autonomous driving technology.

Additional Information

The U.S. base salary range for this full-time position is $240,000 - $320,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. This range does not include annual bonus percentage nor any other monetary considerations for the total compensation package. Your Recruiter can share more details about the specific salary range for this position during the interview process.

In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; long term disability insurance; paid time off; parental leave. Pay ranges included in the postings, when included, generally reflect base salary; certain positions may include bonus, or additional benefits.

Equal Opportunity Employer, including disability / veterans

*Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. xzbcwsv Candidates who have been offered the position must pass both screenings before their start date.

#LI-JM1 Read Less

Company Description

The full job description covers all associated skills, previous experience, and any qualifications that applicants are expected to have.

The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group ( ), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.

As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions.

Originating from the AI research in Silicon Valley, ourFoundation Model Powered AI Enablersgroup plays a pivotal role in shaping the future of industrial AI experiences for Bosch products and services. By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles. Our award-winning team (IEEE VIS best paper & best paper runner-ups) actively collaborates with leading academic and industry groups to advance research ideas and disseminate findings in top AI conferences and journals, such as CVPR, ICCV, ICRA, ECCV, NeurIPS, ICLR, TVCG, SIGGRAPH.

We Are Bosch.

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry.

Let’s grow together, enjoy more, and inspire each other.Work #LikeABosch

Reinvent yourself:At Bosch, you will evolve.Discover new directions:At Bosch, you will find your place.Balance your life:At Bosch, your job matches your lifestyle.Celebrate success:At Bosch, we celebrate you.Be yourself:At Bosch, we value values.Shape tomorrow:At Bosch, you change lives.

Do you want beneficial technologies being shaped your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.

Job Description

Key Responsibilities:

Conduct research on GenAI and Foundation models (FM) to address academic and industrial challenges in ADAS AI domain such as 3D reconstruction, world model, map and localization, data curation and auto-labeling, etc.Work with an international team of experts to transfer and apply the Bosch in-house GenAI / FM innovations and 3rd-party solutions to Bosch AI products and services, such as ADAS.Stay abreast of the latest technological advancements and market trends by attending academic conferences, technical events, and seminars.Offer expert insights to the management team in relevant technology sectors, aiding in strategic planning, R&D trajectory, and investment decisions.Document and disseminate research findings through high-caliber publications and/or patent submissions.

Qualifications

Basic Qualifications

Ph.D. in Computer Science or Engineering, or a related discipline or master’s degree with 3+ years industry experience (GenAI and/or world model related) after graduation2+ years of research experience or equivalent graduate research experience on foundation models, including training, fine-tuning, and promptingIn-depth experiences in deep learning, with work in at least two of the following areas: diffusion models, 3D reconstruction, world modelsProficiency in one or more programming languages commonly used in systems research (e.g., Python, C++) and hands on experience with AI / NLP / CV librariesPublication record in top venues including CVPR, ICCV, ECCV, ICRA, IROS, RSS, NeurIPS, AAAI, ACL, EMNLP, and CoRLStrong interpersonal, communication, and teamwork capabilities

Preferred Qualifications

Strong background in math and statistics3+ years experiences in industrial researchHands-on experience in product development in the above-mentioned areas for consumer/enterprise marketsExperience in leading R&D project & team dealing with international customersLeadership skills with excellent English communication & teamwork skills

Additional Information

We offer a competitive base salary for this position with a range in US-California of --$165,000 - $185,000 along with an annual corporate bonus, and a long-term incentive bonus designed to reward sustained impact and contribution over time. Within the salary range, the individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc.

Your well-being matters at Bosch! We offer a a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. Your Recruiter can share more details for this position during the interview process. xzbcwsv

Learn more about our full benefits offerings by visiting: .

Equal Opportunity Employer, including disability / veterans.

#LI-JM1

Culture and Benefits | Bosch in the USA Read Less

Company Description

The full job description covers all associated skills, previous experience, and any qualifications that applicants are expected to have.

The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group ( ), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.

As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions.

Originating from the AI research in Silicon Valley, ourFoundation Model Powered AI Enablersgroup plays a pivotal role in shaping the future of industrial AI experiences for Bosch products and services. By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles. Our award-winning team (IEEE VIS best paper & best paper runner-ups) actively collaborates with leading academic and industry groups to advance research ideas and disseminate findings in top AI conferences and journals, such as CVPR, ICCV, ICRA, ECCV, NeurIPS, ICLR, TVCG, SIGGRAPH.

We Are Bosch.

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry.

Let’s grow together, enjoy more, and inspire each other.Work #LikeABosch

Reinvent yourself:At Bosch, you will evolve.Discover new directions:At Bosch, you will find your place.Balance your life:At Bosch, your job matches your lifestyle.Celebrate success:At Bosch, we celebrate you.Be yourself:At Bosch, we value values.Shape tomorrow:At Bosch, you change lives.

Do you want beneficial technologies being shaped your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.

Job Description

Key Responsibilities:

Conduct research on GenAI and Foundation models (FM) to address academic and industrial challenges in ADAS AI domain such as 3D reconstruction, world model, map and localization, data curation and auto-labeling, etc.Work with an international team of experts to transfer and apply the Bosch in-house GenAI / FM innovations and 3rd-party solutions to Bosch AI products and services, such as ADAS.Stay abreast of the latest technological advancements and market trends by attending academic conferences, technical events, and seminars.Offer expert insights to the management team in relevant technology sectors, aiding in strategic planning, R&D trajectory, and investment decisions.Document and disseminate research findings through high-caliber publications and/or patent submissions.

Qualifications

Basic Qualifications

Ph.D. in Computer Science or Engineering, or a related discipline or master’s degree with 3+ years industry experience (GenAI and/or world model related) after graduation2+ years of research experience or equivalent graduate research experience on foundation models, including training, fine-tuning, and promptingIn-depth experiences in deep learning, with work in at least two of the following areas: diffusion models, 3D reconstruction, world modelsProficiency in one or more programming languages commonly used in systems research (e.g., Python, C++) and hands on experience with AI / NLP / CV librariesPublication record in top venues including CVPR, ICCV, ECCV, ICRA, IROS, RSS, NeurIPS, AAAI, ACL, EMNLP, and CoRLStrong interpersonal, communication, and teamwork capabilities

Preferred Qualifications

Strong background in math and statistics3+ years experiences in industrial researchHands-on experience in product development in the above-mentioned areas for consumer/enterprise marketsExperience in leading R&D project & team dealing with international customersLeadership skills with excellent English communication & teamwork skills

Additional Information

We offer a competitive base salary for this position with a range in US-California of --$165,000 - $185,000 along with an annual corporate bonus, and a long-term incentive bonus designed to reward sustained impact and contribution over time. Within the salary range, the individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc.

Your well-being matters at Bosch! We offer a a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. Your Recruiter can share more details for this position during the interview process. xzbcwsv

Learn more about our full benefits offerings by visiting: .

Equal Opportunity Employer, including disability / veterans.

#LI-JM1

Culture and Benefits | Bosch in the USA Read Less

Company Description

Find out more about the daily tasks, overall responsibilities, and required experience for this opportunity by scrolling down now.

“Invented for Life” drives us at Bosch and our vision of future mobility. Autonomous vehicles will change the way we move and at Bosch we are working on making this future a reality. We are now growing our team to solve some of the hardest automated driving problems, and are looking for experts for product engineering of AI-based Autonomous Driving systems.

Job Description

As the Senior Principal Engineer, E2E AI Training Framework for Autonomous Driving Systems, you will spearhead the development and optimization of the machinery that efficiently trains, optimizes, tests, and releases various E2E AI-based products (e.g. parking, driving, interior sensing) for different trim levels (entry, mid and high) within our L2+ ADAS stack. You will be responsible for defining and driving the technological roadmap for the AI machinery, ensuring its scalability, reliability, and performance. The ideal candidate must have prior industry experience in releasing AI-based L2+ systems, with a proven track record of translating innovative research into production-grade solutions.

Key Responsibilities

Define and drive execution of the technical roadmap and strategy for the E2E AI machinery, including training pipelines, optimization techniques, simulation and MLOps tooling.Oversee the design, development, and testing of the E2E AI machinery and its interaction with data sources, model repositories, and development targets.Collaborate closely with other functional tech leads (e.g. data engineering, infrastructure) to define and drive the overall architecture of the AI machinery ecosystem.Guide the set-up of a development framework that enables fast evaluation and integration of emerging E2E AI solutions.Guide the transition from research prototypes to production-ready solutions, ensuring performance optimization on automotive-grade hardware and scalability.Leverage your prior industry experience in launching AI-based L2+ systems to implement best practices in system validation, testing (SIL/HIL), and continuous improvement.Mentor and lead a high-caliber team of AI scientists and engineers, fostering a culture of innovation, collaboration, and technical excellence.

Qualifications

Basic Qualifications:

Master’s degree or Ph.D in Computer Science, Robotics, Electrical Engineering, AI, or a closely related field with a focus on autonomous systems10+ years of experience in software development and system engineering for autonomous driving or ADAS applicationsProven industry experience in releasing AI-based L2+ systems, with a strong track record of successful product deploymentsDeep knowledge of E2E AI stack solutions and training algorithms, including reinforcement learning, and imitation learning, as well as motion control and optimization techniquesDeep knowledge of AI frameworks such as TensorFlow and PyTorchDeep knowledge in model optimization and embedded deployment of E2E AI stacks to embedded automotive hardwareDeep knowledge of cloud-based scalable training pipelines, MLOps, and CICD for training AI models with large-scale fleet datasetsProven track record of leading the end-to-end development and successful deployment of complex AI-powered systems into production environments at scale

Preferred Qualifications:

Experience with simulation tools and testing methodologies (SIL/HIL) for autonomous systems.Proficiency in programming languages such as Python and C++.Strong understanding of automotive safety standards (ISO 26262, ASIL) and regulatory requirements for ADAS.Exceptional leadership and communication skills, with the ability to inspire and manage cross-functional teams.Strategic thinker with strong problem-solving abilities and a passion for innovation in autonomous driving technology.

Additional Information

The U.S. base salary range for this full-time position is $240,000 - $320,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. This range does not include annual bonus percentage nor any other monetary considerations for the total compensation package. Your Recruiter can share more details about the specific salary range for this position during the interview process.

In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; long term disability insurance; paid time off; parental leave. Pay ranges included in the postings, when included, generally reflect base salary; certain positions may include bonus, or additional benefits.

Equal Opportunity Employer, including disability / veterans

*Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. xzbcwsv Candidates who have been offered the position must pass both screenings before their start date.

#LI-JM1 Read Less

Company Description

The full job description covers all associated skills, previous experience, and any qualifications that applicants are expected to have.

The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group ( ), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.

As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions.

Originating from the AI research in Silicon Valley, ourFoundation Model Powered AI Enablersgroup plays a pivotal role in shaping the future of industrial AI experiences for Bosch products and services. By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles. Our award-winning team (IEEE VIS best paper & best paper runner-ups) actively collaborates with leading academic and industry groups to advance research ideas and disseminate findings in top AI conferences and journals, such as CVPR, ICCV, ICRA, ECCV, NeurIPS, ICLR, TVCG, SIGGRAPH.

We Are Bosch.

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry.

Let’s grow together, enjoy more, and inspire each other.Work #LikeABosch

Reinvent yourself:At Bosch, you will evolve.Discover new directions:At Bosch, you will find your place.Balance your life:At Bosch, your job matches your lifestyle.Celebrate success:At Bosch, we celebrate you.Be yourself:At Bosch, we value values.Shape tomorrow:At Bosch, you change lives.

Do you want beneficial technologies being shaped your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.

Job Description

Key Responsibilities:

Conduct research on GenAI and Foundation models (FM) to address academic and industrial challenges in ADAS AI domain such as 3D reconstruction, world model, map and localization, data curation and auto-labeling, etc.Work with an international team of experts to transfer and apply the Bosch in-house GenAI / FM innovations and 3rd-party solutions to Bosch AI products and services, such as ADAS.Stay abreast of the latest technological advancements and market trends by attending academic conferences, technical events, and seminars.Offer expert insights to the management team in relevant technology sectors, aiding in strategic planning, R&D trajectory, and investment decisions.Document and disseminate research findings through high-caliber publications and/or patent submissions.

Qualifications

Basic Qualifications

Ph.D. in Computer Science or Engineering, or a related discipline or master’s degree with 3+ years industry experience (GenAI and/or world model related) after graduation2+ years of research experience or equivalent graduate research experience on foundation models, including training, fine-tuning, and promptingIn-depth experiences in deep learning, with work in at least two of the following areas: diffusion models, 3D reconstruction, world modelsProficiency in one or more programming languages commonly used in systems research (e.g., Python, C++) and hands on experience with AI / NLP / CV librariesPublication record in top venues including CVPR, ICCV, ECCV, ICRA, IROS, RSS, NeurIPS, AAAI, ACL, EMNLP, and CoRLStrong interpersonal, communication, and teamwork capabilities

Preferred Qualifications

Strong background in math and statistics3+ years experiences in industrial researchHands-on experience in product development in the above-mentioned areas for consumer/enterprise marketsExperience in leading R&D project & team dealing with international customersLeadership skills with excellent English communication & teamwork skills

Additional Information

We offer a competitive base salary for this position with a range in US-California of --$165,000 - $185,000 along with an annual corporate bonus, and a long-term incentive bonus designed to reward sustained impact and contribution over time. Within the salary range, the individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc.

Your well-being matters at Bosch! We offer a a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. Your Recruiter can share more details for this position during the interview process. xzbcwsv

Learn more about our full benefits offerings by visiting: .

Equal Opportunity Employer, including disability / veterans.

#LI-JM1

Culture and Benefits | Bosch in the USA Read Less

Company Description

Find out more about the daily tasks, overall responsibilities, and required experience for this opportunity by scrolling down now.

“Invented for Life” drives us at Bosch and our vision of future mobility. Autonomous vehicles will change the way we move and at Bosch we are working on making this future a reality. We are now growing our team to solve some of the hardest automated driving problems, and are looking for experts for product engineering of AI-based Autonomous Driving systems.

Job Description

As the Senior Principal Engineer, E2E AI Training Framework for Autonomous Driving Systems, you will spearhead the development and optimization of the machinery that efficiently trains, optimizes, tests, and releases various E2E AI-based products (e.g. parking, driving, interior sensing) for different trim levels (entry, mid and high) within our L2+ ADAS stack. You will be responsible for defining and driving the technological roadmap for the AI machinery, ensuring its scalability, reliability, and performance. The ideal candidate must have prior industry experience in releasing AI-based L2+ systems, with a proven track record of translating innovative research into production-grade solutions.

Key Responsibilities

Define and drive execution of the technical roadmap and strategy for the E2E AI machinery, including training pipelines, optimization techniques, simulation and MLOps tooling.Oversee the design, development, and testing of the E2E AI machinery and its interaction with data sources, model repositories, and development targets.Collaborate closely with other functional tech leads (e.g. data engineering, infrastructure) to define and drive the overall architecture of the AI machinery ecosystem.Guide the set-up of a development framework that enables fast evaluation and integration of emerging E2E AI solutions.Guide the transition from research prototypes to production-ready solutions, ensuring performance optimization on automotive-grade hardware and scalability.Leverage your prior industry experience in launching AI-based L2+ systems to implement best practices in system validation, testing (SIL/HIL), and continuous improvement.Mentor and lead a high-caliber team of AI scientists and engineers, fostering a culture of innovation, collaboration, and technical excellence.

Qualifications

Basic Qualifications:

Master’s degree or Ph.D in Computer Science, Robotics, Electrical Engineering, AI, or a closely related field with a focus on autonomous systems10+ years of experience in software development and system engineering for autonomous driving or ADAS applicationsProven industry experience in releasing AI-based L2+ systems, with a strong track record of successful product deploymentsDeep knowledge of E2E AI stack solutions and training algorithms, including reinforcement learning, and imitation learning, as well as motion control and optimization techniquesDeep knowledge of AI frameworks such as TensorFlow and PyTorchDeep knowledge in model optimization and embedded deployment of E2E AI stacks to embedded automotive hardwareDeep knowledge of cloud-based scalable training pipelines, MLOps, and CICD for training AI models with large-scale fleet datasetsProven track record of leading the end-to-end development and successful deployment of complex AI-powered systems into production environments at scale

Preferred Qualifications:

Experience with simulation tools and testing methodologies (SIL/HIL) for autonomous systems.Proficiency in programming languages such as Python and C++.Strong understanding of automotive safety standards (ISO 26262, ASIL) and regulatory requirements for ADAS.Exceptional leadership and communication skills, with the ability to inspire and manage cross-functional teams.Strategic thinker with strong problem-solving abilities and a passion for innovation in autonomous driving technology.

Additional Information

The U.S. base salary range for this full-time position is $240,000 - $320,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. This range does not include annual bonus percentage nor any other monetary considerations for the total compensation package. Your Recruiter can share more details about the specific salary range for this position during the interview process.

In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; long term disability insurance; paid time off; parental leave. Pay ranges included in the postings, when included, generally reflect base salary; certain positions may include bonus, or additional benefits.

Equal Opportunity Employer, including disability / veterans

*Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. xzbcwsv Candidates who have been offered the position must pass both screenings before their start date.

#LI-JM1 Read Less

Company Description

The full job description covers all associated skills, previous experience, and any qualifications that applicants are expected to have.

The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group ( ), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.

As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions.

Originating from the AI research in Silicon Valley, ourFoundation Model Powered AI Enablersgroup plays a pivotal role in shaping the future of industrial AI experiences for Bosch products and services. By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles. Our award-winning team (IEEE VIS best paper & best paper runner-ups) actively collaborates with leading academic and industry groups to advance research ideas and disseminate findings in top AI conferences and journals, such as CVPR, ICCV, ICRA, ECCV, NeurIPS, ICLR, TVCG, SIGGRAPH.

We Are Bosch.

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry.

Let’s grow together, enjoy more, and inspire each other.Work #LikeABosch

Reinvent yourself:At Bosch, you will evolve.Discover new directions:At Bosch, you will find your place.Balance your life:At Bosch, your job matches your lifestyle.Celebrate success:At Bosch, we celebrate you.Be yourself:At Bosch, we value values.Shape tomorrow:At Bosch, you change lives.

Do you want beneficial technologies being shaped your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.

Job Description

Key Responsibilities:

Conduct research on GenAI and Foundation models (FM) to address academic and industrial challenges in ADAS AI domain such as 3D reconstruction, world model, map and localization, data curation and auto-labeling, etc.Work with an international team of experts to transfer and apply the Bosch in-house GenAI / FM innovations and 3rd-party solutions to Bosch AI products and services, such as ADAS.Stay abreast of the latest technological advancements and market trends by attending academic conferences, technical events, and seminars.Offer expert insights to the management team in relevant technology sectors, aiding in strategic planning, R&D trajectory, and investment decisions.Document and disseminate research findings through high-caliber publications and/or patent submissions.

Qualifications

Basic Qualifications

Ph.D. in Computer Science or Engineering, or a related discipline or master’s degree with 3+ years industry experience (GenAI and/or world model related) after graduation2+ years of research experience or equivalent graduate research experience on foundation models, including training, fine-tuning, and promptingIn-depth experiences in deep learning, with work in at least two of the following areas: diffusion models, 3D reconstruction, world modelsProficiency in one or more programming languages commonly used in systems research (e.g., Python, C++) and hands on experience with AI / NLP / CV librariesPublication record in top venues including CVPR, ICCV, ECCV, ICRA, IROS, RSS, NeurIPS, AAAI, ACL, EMNLP, and CoRLStrong interpersonal, communication, and teamwork capabilities

Preferred Qualifications

Strong background in math and statistics3+ years experiences in industrial researchHands-on experience in product development in the above-mentioned areas for consumer/enterprise marketsExperience in leading R&D project & team dealing with international customersLeadership skills with excellent English communication & teamwork skills

Additional Information

We offer a competitive base salary for this position with a range in US-California of --$165,000 - $185,000 along with an annual corporate bonus, and a long-term incentive bonus designed to reward sustained impact and contribution over time. Within the salary range, the individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc.

Your well-being matters at Bosch! We offer a a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. Your Recruiter can share more details for this position during the interview process. xzbcwsv

Learn more about our full benefits offerings by visiting: .

Equal Opportunity Employer, including disability / veterans.

#LI-JM1

Culture and Benefits | Bosch in the USA Read Less

Company Description

Find out more about the daily tasks, overall responsibilities, and required experience for this opportunity by scrolling down now.

“Invented for Life” drives us at Bosch and our vision of future mobility. Autonomous vehicles will change the way we move and at Bosch we are working on making this future a reality. We are now growing our team to solve some of the hardest automated driving problems, and are looking for experts for product engineering of AI-based Autonomous Driving systems.

Job Description

As the Senior Principal Engineer, E2E AI Training Framework for Autonomous Driving Systems, you will spearhead the development and optimization of the machinery that efficiently trains, optimizes, tests, and releases various E2E AI-based products (e.g. parking, driving, interior sensing) for different trim levels (entry, mid and high) within our L2+ ADAS stack. You will be responsible for defining and driving the technological roadmap for the AI machinery, ensuring its scalability, reliability, and performance. The ideal candidate must have prior industry experience in releasing AI-based L2+ systems, with a proven track record of translating innovative research into production-grade solutions.

Key Responsibilities

Define and drive execution of the technical roadmap and strategy for the E2E AI machinery, including training pipelines, optimization techniques, simulation and MLOps tooling.Oversee the design, development, and testing of the E2E AI machinery and its interaction with data sources, model repositories, and development targets.Collaborate closely with other functional tech leads (e.g. data engineering, infrastructure) to define and drive the overall architecture of the AI machinery ecosystem.Guide the set-up of a development framework that enables fast evaluation and integration of emerging E2E AI solutions.Guide the transition from research prototypes to production-ready solutions, ensuring performance optimization on automotive-grade hardware and scalability.Leverage your prior industry experience in launching AI-based L2+ systems to implement best practices in system validation, testing (SIL/HIL), and continuous improvement.Mentor and lead a high-caliber team of AI scientists and engineers, fostering a culture of innovation, collaboration, and technical excellence.

Qualifications

Basic Qualifications:

Master’s degree or Ph.D in Computer Science, Robotics, Electrical Engineering, AI, or a closely related field with a focus on autonomous systems10+ years of experience in software development and system engineering for autonomous driving or ADAS applicationsProven industry experience in releasing AI-based L2+ systems, with a strong track record of successful product deploymentsDeep knowledge of E2E AI stack solutions and training algorithms, including reinforcement learning, and imitation learning, as well as motion control and optimization techniquesDeep knowledge of AI frameworks such as TensorFlow and PyTorchDeep knowledge in model optimization and embedded deployment of E2E AI stacks to embedded automotive hardwareDeep knowledge of cloud-based scalable training pipelines, MLOps, and CICD for training AI models with large-scale fleet datasetsProven track record of leading the end-to-end development and successful deployment of complex AI-powered systems into production environments at scale

Preferred Qualifications:

Experience with simulation tools and testing methodologies (SIL/HIL) for autonomous systems.Proficiency in programming languages such as Python and C++.Strong understanding of automotive safety standards (ISO 26262, ASIL) and regulatory requirements for ADAS.Exceptional leadership and communication skills, with the ability to inspire and manage cross-functional teams.Strategic thinker with strong problem-solving abilities and a passion for innovation in autonomous driving technology.

Additional Information

The U.S. base salary range for this full-time position is $240,000 - $320,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. This range does not include annual bonus percentage nor any other monetary considerations for the total compensation package. Your Recruiter can share more details about the specific salary range for this position during the interview process.

In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; long term disability insurance; paid time off; parental leave. Pay ranges included in the postings, when included, generally reflect base salary; certain positions may include bonus, or additional benefits.

Equal Opportunity Employer, including disability / veterans

*Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. xzbcwsv Candidates who have been offered the position must pass both screenings before their start date.

#LI-JM1 Read Less

Company Description

The full job description covers all associated skills, previous experience, and any qualifications that applicants are expected to have.

The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group ( ), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.

As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions.

Originating from the AI research in Silicon Valley, ourFoundation Model Powered AI Enablersgroup plays a pivotal role in shaping the future of industrial AI experiences for Bosch products and services. By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles. Our award-winning team (IEEE VIS best paper & best paper runner-ups) actively collaborates with leading academic and industry groups to advance research ideas and disseminate findings in top AI conferences and journals, such as CVPR, ICCV, ICRA, ECCV, NeurIPS, ICLR, TVCG, SIGGRAPH.

We Are Bosch.

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry.

Let’s grow together, enjoy more, and inspire each other.Work #LikeABosch

Reinvent yourself:At Bosch, you will evolve.Discover new directions:At Bosch, you will find your place.Balance your life:At Bosch, your job matches your lifestyle.Celebrate success:At Bosch, we celebrate you.Be yourself:At Bosch, we value values.Shape tomorrow:At Bosch, you change lives.

Do you want beneficial technologies being shaped your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.

Job Description

Key Responsibilities:

Conduct research on GenAI and Foundation models (FM) to address academic and industrial challenges in ADAS AI domain such as 3D reconstruction, world model, map and localization, data curation and auto-labeling, etc.Work with an international team of experts to transfer and apply the Bosch in-house GenAI / FM innovations and 3rd-party solutions to Bosch AI products and services, such as ADAS.Stay abreast of the latest technological advancements and market trends by attending academic conferences, technical events, and seminars.Offer expert insights to the management team in relevant technology sectors, aiding in strategic planning, R&D trajectory, and investment decisions.Document and disseminate research findings through high-caliber publications and/or patent submissions.

Qualifications

Basic Qualifications

Ph.D. in Computer Science or Engineering, or a related discipline or master’s degree with 3+ years industry experience (GenAI and/or world model related) after graduation2+ years of research experience or equivalent graduate research experience on foundation models, including training, fine-tuning, and promptingIn-depth experiences in deep learning, with work in at least two of the following areas: diffusion models, 3D reconstruction, world modelsProficiency in one or more programming languages commonly used in systems research (e.g., Python, C++) and hands on experience with AI / NLP / CV librariesPublication record in top venues including CVPR, ICCV, ECCV, ICRA, IROS, RSS, NeurIPS, AAAI, ACL, EMNLP, and CoRLStrong interpersonal, communication, and teamwork capabilities

Preferred Qualifications

Strong background in math and statistics3+ years experiences in industrial researchHands-on experience in product development in the above-mentioned areas for consumer/enterprise marketsExperience in leading R&D project & team dealing with international customersLeadership skills with excellent English communication & teamwork skills

Additional Information

We offer a competitive base salary for this position with a range in US-California of --$165,000 - $185,000 along with an annual corporate bonus, and a long-term incentive bonus designed to reward sustained impact and contribution over time. Within the salary range, the individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc.

Your well-being matters at Bosch! We offer a a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. Your Recruiter can share more details for this position during the interview process. xzbcwsv

Learn more about our full benefits offerings by visiting: .

Equal Opportunity Employer, including disability / veterans.

#LI-JM1

Culture and Benefits | Bosch in the USA Read Less

Company Description

The full job description covers all associated skills, previous experience, and any qualifications that applicants are expected to have.

The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group ( ), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.

As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions.

Originating from the AI research in Silicon Valley, ourFoundation Model Powered AI Enablersgroup plays a pivotal role in shaping the future of industrial AI experiences for Bosch products and services. By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles. Our award-winning team (IEEE VIS best paper & best paper runner-ups) actively collaborates with leading academic and industry groups to advance research ideas and disseminate findings in top AI conferences and journals, such as CVPR, ICCV, ICRA, ECCV, NeurIPS, ICLR, TVCG, SIGGRAPH.

We Are Bosch.

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry.

Let’s grow together, enjoy more, and inspire each other.Work #LikeABosch

Reinvent yourself:At Bosch, you will evolve.Discover new directions:At Bosch, you will find your place.Balance your life:At Bosch, your job matches your lifestyle.Celebrate success:At Bosch, we celebrate you.Be yourself:At Bosch, we value values.Shape tomorrow:At Bosch, you change lives.

Do you want beneficial technologies being shaped your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.

Job Description

Key Responsibilities:

Conduct research on GenAI and Foundation models (FM) to address academic and industrial challenges in ADAS AI domain such as 3D reconstruction, world model, map and localization, data curation and auto-labeling, etc.Work with an international team of experts to transfer and apply the Bosch in-house GenAI / FM innovations and 3rd-party solutions to Bosch AI products and services, such as ADAS.Stay abreast of the latest technological advancements and market trends by attending academic conferences, technical events, and seminars.Offer expert insights to the management team in relevant technology sectors, aiding in strategic planning, R&D trajectory, and investment decisions.Document and disseminate research findings through high-caliber publications and/or patent submissions.

Qualifications

Basic Qualifications

Ph.D. in Computer Science or Engineering, or a related discipline or master’s degree with 3+ years industry experience (GenAI and/or world model related) after graduation2+ years of research experience or equivalent graduate research experience on foundation models, including training, fine-tuning, and promptingIn-depth experiences in deep learning, with work in at least two of the following areas: diffusion models, 3D reconstruction, world modelsProficiency in one or more programming languages commonly used in systems research (e.g., Python, C++) and hands on experience with AI / NLP / CV librariesPublication record in top venues including CVPR, ICCV, ECCV, ICRA, IROS, RSS, NeurIPS, AAAI, ACL, EMNLP, and CoRLStrong interpersonal, communication, and teamwork capabilities

Preferred Qualifications

Strong background in math and statistics3+ years experiences in industrial researchHands-on experience in product development in the above-mentioned areas for consumer/enterprise marketsExperience in leading R&D project & team dealing with international customersLeadership skills with excellent English communication & teamwork skills

Additional Information

We offer a competitive base salary for this position with a range in US-California of --$165,000 - $185,000 along with an annual corporate bonus, and a long-term incentive bonus designed to reward sustained impact and contribution over time. Within the salary range, the individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc.

Your well-being matters at Bosch! We offer a a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. Your Recruiter can share more details for this position during the interview process. xzbcwsv

Learn more about our full benefits offerings by visiting: .

Equal Opportunity Employer, including disability / veterans.

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Culture and Benefits | Bosch in the USA Read Less

Company Description

Find out more about the daily tasks, overall responsibilities, and required experience for this opportunity by scrolling down now.

“Invented for Life” drives us at Bosch and our vision of future mobility. Autonomous vehicles will change the way we move and at Bosch we are working on making this future a reality. We are now growing our team to solve some of the hardest automated driving problems, and are looking for experts for product engineering of AI-based Autonomous Driving systems.

Job Description

As the Senior Principal Engineer, E2E AI Training Framework for Autonomous Driving Systems, you will spearhead the development and optimization of the machinery that efficiently trains, optimizes, tests, and releases various E2E AI-based products (e.g. parking, driving, interior sensing) for different trim levels (entry, mid and high) within our L2+ ADAS stack. You will be responsible for defining and driving the technological roadmap for the AI machinery, ensuring its scalability, reliability, and performance. The ideal candidate must have prior industry experience in releasing AI-based L2+ systems, with a proven track record of translating innovative research into production-grade solutions.

Key Responsibilities

Define and drive execution of the technical roadmap and strategy for the E2E AI machinery, including training pipelines, optimization techniques, simulation and MLOps tooling.Oversee the design, development, and testing of the E2E AI machinery and its interaction with data sources, model repositories, and development targets.Collaborate closely with other functional tech leads (e.g. data engineering, infrastructure) to define and drive the overall architecture of the AI machinery ecosystem.Guide the set-up of a development framework that enables fast evaluation and integration of emerging E2E AI solutions.Guide the transition from research prototypes to production-ready solutions, ensuring performance optimization on automotive-grade hardware and scalability.Leverage your prior industry experience in launching AI-based L2+ systems to implement best practices in system validation, testing (SIL/HIL), and continuous improvement.Mentor and lead a high-caliber team of AI scientists and engineers, fostering a culture of innovation, collaboration, and technical excellence.

Qualifications

Basic Qualifications:

Master’s degree or Ph.D in Computer Science, Robotics, Electrical Engineering, AI, or a closely related field with a focus on autonomous systems10+ years of experience in software development and system engineering for autonomous driving or ADAS applicationsProven industry experience in releasing AI-based L2+ systems, with a strong track record of successful product deploymentsDeep knowledge of E2E AI stack solutions and training algorithms, including reinforcement learning, and imitation learning, as well as motion control and optimization techniquesDeep knowledge of AI frameworks such as TensorFlow and PyTorchDeep knowledge in model optimization and embedded deployment of E2E AI stacks to embedded automotive hardwareDeep knowledge of cloud-based scalable training pipelines, MLOps, and CICD for training AI models with large-scale fleet datasetsProven track record of leading the end-to-end development and successful deployment of complex AI-powered systems into production environments at scale

Preferred Qualifications:

Experience with simulation tools and testing methodologies (SIL/HIL) for autonomous systems.Proficiency in programming languages such as Python and C++.Strong understanding of automotive safety standards (ISO 26262, ASIL) and regulatory requirements for ADAS.Exceptional leadership and communication skills, with the ability to inspire and manage cross-functional teams.Strategic thinker with strong problem-solving abilities and a passion for innovation in autonomous driving technology.

Additional Information

The U.S. base salary range for this full-time position is $240,000 - $320,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. This range does not include annual bonus percentage nor any other monetary considerations for the total compensation package. Your Recruiter can share more details about the specific salary range for this position during the interview process.

In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; long term disability insurance; paid time off; parental leave. Pay ranges included in the postings, when included, generally reflect base salary; certain positions may include bonus, or additional benefits.

Equal Opportunity Employer, including disability / veterans

*Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. xzbcwsv Candidates who have been offered the position must pass both screenings before their start date.

#LI-JM1 Read Less

Company Description

Find out more about the daily tasks, overall responsibilities, and required experience for this opportunity by scrolling down now.

“Invented for Life” drives us at Bosch and our vision of future mobility. Autonomous vehicles will change the way we move and at Bosch we are working on making this future a reality. We are now growing our team to solve some of the hardest automated driving problems, and are looking for experts for product engineering of AI-based Autonomous Driving systems.

Job Description

As the Senior Principal Engineer, E2E AI Training Framework for Autonomous Driving Systems, you will spearhead the development and optimization of the machinery that efficiently trains, optimizes, tests, and releases various E2E AI-based products (e.g. parking, driving, interior sensing) for different trim levels (entry, mid and high) within our L2+ ADAS stack. You will be responsible for defining and driving the technological roadmap for the AI machinery, ensuring its scalability, reliability, and performance. The ideal candidate must have prior industry experience in releasing AI-based L2+ systems, with a proven track record of translating innovative research into production-grade solutions.

Key Responsibilities

Define and drive execution of the technical roadmap and strategy for the E2E AI machinery, including training pipelines, optimization techniques, simulation and MLOps tooling.Oversee the design, development, and testing of the E2E AI machinery and its interaction with data sources, model repositories, and development targets.Collaborate closely with other functional tech leads (e.g. data engineering, infrastructure) to define and drive the overall architecture of the AI machinery ecosystem.Guide the set-up of a development framework that enables fast evaluation and integration of emerging E2E AI solutions.Guide the transition from research prototypes to production-ready solutions, ensuring performance optimization on automotive-grade hardware and scalability.Leverage your prior industry experience in launching AI-based L2+ systems to implement best practices in system validation, testing (SIL/HIL), and continuous improvement.Mentor and lead a high-caliber team of AI scientists and engineers, fostering a culture of innovation, collaboration, and technical excellence.

Qualifications

Basic Qualifications:

Master’s degree or Ph.D in Computer Science, Robotics, Electrical Engineering, AI, or a closely related field with a focus on autonomous systems10+ years of experience in software development and system engineering for autonomous driving or ADAS applicationsProven industry experience in releasing AI-based L2+ systems, with a strong track record of successful product deploymentsDeep knowledge of E2E AI stack solutions and training algorithms, including reinforcement learning, and imitation learning, as well as motion control and optimization techniquesDeep knowledge of AI frameworks such as TensorFlow and PyTorchDeep knowledge in model optimization and embedded deployment of E2E AI stacks to embedded automotive hardwareDeep knowledge of cloud-based scalable training pipelines, MLOps, and CICD for training AI models with large-scale fleet datasetsProven track record of leading the end-to-end development and successful deployment of complex AI-powered systems into production environments at scale

Preferred Qualifications:

Experience with simulation tools and testing methodologies (SIL/HIL) for autonomous systems.Proficiency in programming languages such as Python and C++.Strong understanding of automotive safety standards (ISO 26262, ASIL) and regulatory requirements for ADAS.Exceptional leadership and communication skills, with the ability to inspire and manage cross-functional teams.Strategic thinker with strong problem-solving abilities and a passion for innovation in autonomous driving technology.

Additional Information

The U.S. base salary range for this full-time position is $240,000 - $320,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. This range does not include annual bonus percentage nor any other monetary considerations for the total compensation package. Your Recruiter can share more details about the specific salary range for this position during the interview process.

In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; long term disability insurance; paid time off; parental leave. Pay ranges included in the postings, when included, generally reflect base salary; certain positions may include bonus, or additional benefits.

Equal Opportunity Employer, including disability / veterans

*Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. xzbcwsv Candidates who have been offered the position must pass both screenings before their start date.

#LI-JM1 Read Less

Company Description

Find out more about the daily tasks, overall responsibilities, and required experience for this opportunity by scrolling down now.

“Invented for Life” drives us at Bosch and our vision of future mobility. Autonomous vehicles will change the way we move and at Bosch we are working on making this future a reality. We are now growing our team to solve some of the hardest automated driving problems, and are looking for experts for product engineering of AI-based Autonomous Driving systems.

Job Description

As the Senior Principal Engineer, E2E AI Training Framework for Autonomous Driving Systems, you will spearhead the development and optimization of the machinery that efficiently trains, optimizes, tests, and releases various E2E AI-based products (e.g. parking, driving, interior sensing) for different trim levels (entry, mid and high) within our L2+ ADAS stack. You will be responsible for defining and driving the technological roadmap for the AI machinery, ensuring its scalability, reliability, and performance. The ideal candidate must have prior industry experience in releasing AI-based L2+ systems, with a proven track record of translating innovative research into production-grade solutions.

Key Responsibilities

Define and drive execution of the technical roadmap and strategy for the E2E AI machinery, including training pipelines, optimization techniques, simulation and MLOps tooling.Oversee the design, development, and testing of the E2E AI machinery and its interaction with data sources, model repositories, and development targets.Collaborate closely with other functional tech leads (e.g. data engineering, infrastructure) to define and drive the overall architecture of the AI machinery ecosystem.Guide the set-up of a development framework that enables fast evaluation and integration of emerging E2E AI solutions.Guide the transition from research prototypes to production-ready solutions, ensuring performance optimization on automotive-grade hardware and scalability.Leverage your prior industry experience in launching AI-based L2+ systems to implement best practices in system validation, testing (SIL/HIL), and continuous improvement.Mentor and lead a high-caliber team of AI scientists and engineers, fostering a culture of innovation, collaboration, and technical excellence.

Qualifications

Basic Qualifications:

Master’s degree or Ph.D in Computer Science, Robotics, Electrical Engineering, AI, or a closely related field with a focus on autonomous systems10+ years of experience in software development and system engineering for autonomous driving or ADAS applicationsProven industry experience in releasing AI-based L2+ systems, with a strong track record of successful product deploymentsDeep knowledge of E2E AI stack solutions and training algorithms, including reinforcement learning, and imitation learning, as well as motion control and optimization techniquesDeep knowledge of AI frameworks such as TensorFlow and PyTorchDeep knowledge in model optimization and embedded deployment of E2E AI stacks to embedded automotive hardwareDeep knowledge of cloud-based scalable training pipelines, MLOps, and CICD for training AI models with large-scale fleet datasetsProven track record of leading the end-to-end development and successful deployment of complex AI-powered systems into production environments at scale

Preferred Qualifications:

Experience with simulation tools and testing methodologies (SIL/HIL) for autonomous systems.Proficiency in programming languages such as Python and C++.Strong understanding of automotive safety standards (ISO 26262, ASIL) and regulatory requirements for ADAS.Exceptional leadership and communication skills, with the ability to inspire and manage cross-functional teams.Strategic thinker with strong problem-solving abilities and a passion for innovation in autonomous driving technology.

Additional Information

The U.S. base salary range for this full-time position is $240,000 - $320,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. This range does not include annual bonus percentage nor any other monetary considerations for the total compensation package. Your Recruiter can share more details about the specific salary range for this position during the interview process.

In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; long term disability insurance; paid time off; parental leave. Pay ranges included in the postings, when included, generally reflect base salary; certain positions may include bonus, or additional benefits.

Equal Opportunity Employer, including disability / veterans

*Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. xzbcwsv Candidates who have been offered the position must pass both screenings before their start date.

#LI-JM1 Read Less

Company Description

Find out more about the daily tasks, overall responsibilities, and required experience for this opportunity by scrolling down now.

“Invented for Life” drives us at Bosch and our vision of future mobility. Autonomous vehicles will change the way we move and at Bosch we are working on making this future a reality. We are now growing our team to solve some of the hardest automated driving problems, and are looking for experts for product engineering of AI-based Autonomous Driving systems.

Job Description

As the Senior Principal Engineer, E2E AI Training Framework for Autonomous Driving Systems, you will spearhead the development and optimization of the machinery that efficiently trains, optimizes, tests, and releases various E2E AI-based products (e.g. parking, driving, interior sensing) for different trim levels (entry, mid and high) within our L2+ ADAS stack. You will be responsible for defining and driving the technological roadmap for the AI machinery, ensuring its scalability, reliability, and performance. The ideal candidate must have prior industry experience in releasing AI-based L2+ systems, with a proven track record of translating innovative research into production-grade solutions.

Key Responsibilities

Define and drive execution of the technical roadmap and strategy for the E2E AI machinery, including training pipelines, optimization techniques, simulation and MLOps tooling.Oversee the design, development, and testing of the E2E AI machinery and its interaction with data sources, model repositories, and development targets.Collaborate closely with other functional tech leads (e.g. data engineering, infrastructure) to define and drive the overall architecture of the AI machinery ecosystem.Guide the set-up of a development framework that enables fast evaluation and integration of emerging E2E AI solutions.Guide the transition from research prototypes to production-ready solutions, ensuring performance optimization on automotive-grade hardware and scalability.Leverage your prior industry experience in launching AI-based L2+ systems to implement best practices in system validation, testing (SIL/HIL), and continuous improvement.Mentor and lead a high-caliber team of AI scientists and engineers, fostering a culture of innovation, collaboration, and technical excellence.

Qualifications

Basic Qualifications:

Master’s degree or Ph.D in Computer Science, Robotics, Electrical Engineering, AI, or a closely related field with a focus on autonomous systems10+ years of experience in software development and system engineering for autonomous driving or ADAS applicationsProven industry experience in releasing AI-based L2+ systems, with a strong track record of successful product deploymentsDeep knowledge of E2E AI stack solutions and training algorithms, including reinforcement learning, and imitation learning, as well as motion control and optimization techniquesDeep knowledge of AI frameworks such as TensorFlow and PyTorchDeep knowledge in model optimization and embedded deployment of E2E AI stacks to embedded automotive hardwareDeep knowledge of cloud-based scalable training pipelines, MLOps, and CICD for training AI models with large-scale fleet datasetsProven track record of leading the end-to-end development and successful deployment of complex AI-powered systems into production environments at scale

Preferred Qualifications:

Experience with simulation tools and testing methodologies (SIL/HIL) for autonomous systems.Proficiency in programming languages such as Python and C++.Strong understanding of automotive safety standards (ISO 26262, ASIL) and regulatory requirements for ADAS.Exceptional leadership and communication skills, with the ability to inspire and manage cross-functional teams.Strategic thinker with strong problem-solving abilities and a passion for innovation in autonomous driving technology.

Additional Information

The U.S. base salary range for this full-time position is $240,000 - $320,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. This range does not include annual bonus percentage nor any other monetary considerations for the total compensation package. Your Recruiter can share more details about the specific salary range for this position during the interview process.

In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; long term disability insurance; paid time off; parental leave. Pay ranges included in the postings, when included, generally reflect base salary; certain positions may include bonus, or additional benefits.

Equal Opportunity Employer, including disability / veterans

*Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. xzbcwsv Candidates who have been offered the position must pass both screenings before their start date.

#LI-JM1 Read Less