L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers’ mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do.

L3Harris is the Trusted Disruptor in defense tech. With customers’ mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security.

Job Title: Senior Specialist, Mechanical Engineering - Aircraft (Sign-on bonus-$15,000-$25,000)
Job Code: 39339
Job Location: Waco, TX (Onsite)
Job Schedule: 9/80

Job Description:

Mechanical engineers at L3Harris have the opportunity to work on a wide range of design efforts across multiple aircraft platforms, including both fixed-wing and rotary-wing. They are responsible for creating designs that integrate advanced airborne systems into special mission aircraft as well as developing unique aircraft modifications. Engineers leverage 3D parametric CAD, rapid prototyping, and other advanced tools to create and validate their designs. They also generate technical drawings, procedures, and documentation to fully define each solution. At L3Harris, engineers participate in every stage of the product lifecycle—from concept development and detailed design to manufacturing, aircraft installation, and customer support.

The organizational structure at L3Harris allows engineers to engage in diverse projects throughout their careers, taking on increasing levels of responsibility. With a broad business portfolio that spans fixed-wing and rotary-wing aircraft, cutting-edge military technology, luxurious head-of-state interiors, and both aluminum and composite structures, engineers have exceptional opportunities to expand their skills and advance their careers within the Modernization and Modifications Group in Waco, TX.

Essential Functions:

Ability to obtain and maintain a DoD security clearance.Design and liaison of aircraft primary and secondary structure utilizing military and commercial design standards, customer specifications and system requirements documents utilizing 3-dimensional CAD.Provide liaison to production and manufacturing for interpretation of engineering design/drawings.Conducting engineering drawing preparation and release within allocated schedule and budget constraints.Generating bids for customer requested change orders and new pursuits.Documenting and reviewing designs with peers, management, and customers.Strong knowledge of mechanical design principles for aircraft structure and components.Strong analytic and communication skills.Ability to work in aircraft and in an aircraft hangar environment.  Ability to climb/board and work inside aircraft.  Ability to bend, stoop, balance, kneel, crouch, reach, push, pull, grasp. Ability to work in narrow aisles or passageways.Ability to obtain and maintain a security clearance.Willingness and ability to work any shift, weekends, and overtime as required.Willingness and ability to travel as required ( Read Less

Nuclear MedicineTechnologist

If you want to know about the requirements for this role, read on for all the relevant information.

Explore Career Opportunities at Shannon Medical Center – Where Compassion Meets Excellence

Shannon Medical Center is seeking dedicated and compassionate professionals to join our team in providing exceptional healthcare to the San Angelo community. Located in the heart of Texas, we offer a dynamic work environment, competitive benefits, and the opportunity to make a meaningful impact. If you're looking to advance your career in a supportive and innovative setting, we encourage you to explore our open positions today.

 

What makes San Angelo different?

San Angelo is a hidden gem in West Texas, known for its rich history, vibrant arts scene, and friendly community. Whether you love outdoor adventures, exploring local culture, or enjoying a slower pace of life, San Angelo is the perfect place to call home.

 

Join Our Team as a Nuclear Medicine Tech at Shannon Medical Center!

Experienced and New Graduates are invited to apply.

Relocation assistance is available to those who qualify

Are you ready to make a difference in patient care using cutting-edge technology? At Shannon Medical Center in San Angelo, we’re looking for a skilled Nuclear Medicine Technologist to join our dynamic team! If you’re passionate about delivering precise and life-changing diagnostic imaging while providing compassionate care, this is the perfect opportunity for you.

As a Nuclear Medicine Technologist, you’ll play an essential role in performing imaging procedures that help diagnose and treat a variety of conditions. Your expertise in nuclear medicine will directly impact patient outcomes, and your warm, caring approach will ensure a positive experience for every patient you encounter.

What you’ll do:

Perform Nuclear Medicine Procedures: Administer radiopharmaceuticals and operate imaging equipment to capture high-quality images of organs and tissues, assisting doctors with the diagnosis and treatment of various conditions.
Ensure Patient Safety & Comfort: Explain procedures to patients, providing reassurance and guidance before, during, and after their exams. Make sure they are comfortable and informed throughout the process.
Collaborate with Medical Team: Work closely with radiologists, physicians, and other healthcare providers to ensure accurate imaging and timely diagnostic results that guide treatment decisions.
Maintain Imaging Equipment: Operate, calibrate, and maintain nuclear medicine equipment to ensure optimal performance. Follow safety protocols to ensure the safety of both patients and staff.
Track & Document Results: Accurately document patient information, procedures, and results while ensuring patient confidentiality and adherence to regulatory standards.
Stay Current with Technology: Continuously update your skills and knowledge to stay ahead of advancements in nuclear medicine technologies and best practices.

What we’re looking for:

Graduate from an approved school of Radiologic Technology or Accredited school of Nuclear Medicine
Clinical experience is preferred
Basic Life Support (BLS) Certificate
Current, valid driver’s license
Medical Radiologic Technology (MRT) License in Texas
American Registry of Radiologic Technologist (ARRT) Certification in Nuclear Medicine (N)

-OR-

CNMT Certification through Nuclear Medicine Technology Certification Board (NMTCB)

 

Benefits Highlights 

Health and Wellness: Multiple plan options, improved coverage.



Retirement: 401(k) matching available, vested-15 months 



Time Off & Work-Life Balance: Generous PTO, supportive culture 



In-House Service Savings: Wellness Credits

 

Why Choose Shannon Medical Center?

At Shannon Medical Center in San Angelo, TX, we’re not just a healthcare provider—we’re a cornerstone of the West Texas community. Serving 25 counties, we’re dedicated to delivering advanced, compassionate care through the latest technology and a focus on patient-centered services.

As a nonprofit organization with deep community roots, Shannon offers an environment where you can thrive. Here, you'll find opportunities to work in high-acuity specialties like cardiac and trauma care while being part of a locally governed, supportive team that values your contributions.

At Shannon, you’ll have the chance to make a real impact, both in the lives of our patients and in your own professional journey. If you're looking for more than just a job, whether it's growing in a specialized field or being part of a compassionate team, Shannon Medical Center is the place for you.

 

At Shannon, we’re committed to fostering a diverse and inclusive environment. Diversity isn’t just a policy- it’s a core part of our mission to provide exceptional healthcare to our family, friends, and neighbors. We celebrate differences and believe they make us stronger.

Apply today and help us make a lasting impact. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status, or disability status. xzbcwsv

 

Questions? Contact Lura Dawkins| 325.747.8708 |

Read Less

JOB SUMMARY:

Please ensure you read the below overview and requirements for this employment opportunity completely.

Provides diagnostic medical nuclear medicine services that are consistent with clinical education and training in accordance with facility policies, procedures, and professional standards.  Individuals will demonstrate clinical competencies to perform nuclear medicine procedures ranging in age from infant to geriatric under the interpreting physicians supervision.

EDUCATIONAL REQUIREMENTS:

High School Diploma
Graduate from an approved School of Radiologic Technology or Accredited School of Nuclear Medicine

EXPERIENCE REQUIREMENTS:

1 year or more of clinical radiology experience, Preferred

CERTIFICATION & LICENSURE REQUIREMENTS: 

The American Registry of Radiologic Technologist (ARRT) Certification in Nuclear Medicine (N) or Certification through Nuclear Medicine Technology Certification Board (NMTCB)
Medical Radiologic Technology (MRT) License from the State of Texas
Current, xzbcwsv Valid Texas Driver’s License
Basic Life Support (BLS) Certification, Required within ninety (90) days of start date

SCHEDULE:

Monday-Friday, 0630-1530
Rotating Weekly and Holiday Call
Rotation through General Nuclear Medicine, Cardiac Nuclear Medicine and Oncology PET/CT
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

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

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

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

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