At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry.
Let’s grow together, enjoy more, and inspire each other. Work #LikeABosch
This internship takes place in Farmington Hills, Michigan, the headquarters of Bosch North America, in the Calibration Engineering group of Power Solutions.
Collaborate with a small group of highly motivated and knowledgeable software engineers working on a cutting-edge software platform. Be responsible for all aspects of feature development including design, implementation, testing, deployment, and operations. Interface with the entire software stack from embedded operating systems to cloud infrastructure and applications while working in multiple programming languages including Go, Rust, Typescript, and Python.
Possible internship projects (among others):
Creation of a system for automated provisioning and remote job execution on embedded platformsAutomatic generation of data files through a serverless APICreate a framework for simulating hundreds or thousands of devices for system load testing.Setup and maintenance of Hardware-in-the-Loop test benches and integration with CI/CD systems
If you're interested to work in a collaborative, learning culture where interns work on meaningful projects, join our team!
If you'd like to learn more about Bosch, click here:
Bosch Mobility | Let's shape a new era of mobility. Together. | Careers at Bosch USA
Bosch | Invented for Life | Careers at Bosch USA
QualificationsMinimum Qualifications
Must be currently enrolled in a university and pursuing a Bachelors or Masters degree in Engineering, with at least one semester completed1+ year academic or industry experience with software languages and operating systems.A minimum 3.0 GPAMust be a minimum of 18 years of ageMust work 35-40 hours per weekValid US drivers licensePreferred Qualifications
Open-Source Software and Git based developmentLinux OS and Embedded Linux Devices (e.g. Raspberry Pi, Orange Pi)CI/CD, unit testing, and high-velocity developmentM2M and real-time communication (e.g. MQTT)API development and implementing using gRPC or OpenAPIDatabase experience (Relational, Time-Series, and key-value stores)Cloud experience (e.g. AWS)Automotive-related hobby and/or experience working with engines or vehicles.Indefinite U.S. work authorized individuals only. Future sponsorship for work authorization unavailable.
Your well-being matters at Bosch! We offer a competitive compensation and a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. We're investing in your success!
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. Candidates who have been offered the position must pass both screenings before their start date.
Read LessAt Bosch Mobility Aftermarket, we believe in creating a work culture that embodies our core values of grow, enjoy, and inspire. Our Mobility Aftermarket division provides diagnostic and repair shop equipment, spare parts, and repair solutions for passenger cars and commercial vehicles worldwide. Our Automotive Service Solutions operations supply testing and repair-shop technology, diagnostic software, service training, and information services.
As a member of our team, you will have the opportunity to grow your skills and knowledge while working with cutting-edge technology. We want you to enjoy what you do and feel inspired to contribute your best to our customers and to the growth of our business. We believe that by cultivating a work environment that encourages personal and professional growth, enjoyment, and inspiration, we can achieve great things together.
Join us at Bosch Mobility Aftermarket and help us shape the future of mobility!
Job DescriptionAs a Software Engineer, you will architect, design and create software that runs on or works with Full Stack Desktop, Mobile and Online services for the Bosch Automotive Service Solutions diagnostics group. Join the team as we change the way we create and develop new products. Products like vehicle diagnostic tools and reporting web services focusing in on diagnostic software for vehicle interfaces
WHAT YOU WILL DO:
As a software engineer you will be involved in front-end design, development, coding, customization, configuration and testing in support of Offline Web and Mobile solutions.To help define the software architecture and design for exciting new products.To participate in design reviews, code reviews and adhere to software development best practicesTo provide system-wide problem-solving, solutions and production support.Use and adapt existing web applications & services; and mobile/desktop appsCreate and test software prototypesDevelop client displays and user interfaces for both online and offline cases.To seek out and participate in personal development opportunities.To grow and share your knowledge base of the latest technologies, industry standardization, and engineering best practices.To collaborate with multiple departments in a dynamic product ecosystem.QualificationsIndefinite U.S. work authorized individuals only. Future sponsorship for work authorization not available.
Potential to be either an E3 or E4.
All your information will be kept confidential according to EEO guidelines.
Equal Opportunity Employer, including disability / veterans.
The U.S. base salary range for this full-time position is $100,000 - $120,000. 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.
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 & Bosch Defined Contribution plan with an attractive employer match; wellness programs; life insurance; short and long term disability insurance; paid time off; parental leave, adoption assistance; and reimbursement of education expenses. Learn more about our full benefits offerings by visiting: https://www.myboschbenefits.com/public/welcome. Pay ranges included in the postings generally reflect base salary; certain positions may include bonus, commission, or additional benefits.
Read LessAt Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry.
Let’s grow together, enjoy more, and inspire each other. Work #LikeABosch
This internship takes place in Farmington Hills, Michigan, the headquarters of Bosch North America, in the Ford Customer team of Power Solutions.
The Opportunity: Build the Future of Business with AI
Are you a highly motivated Data Science Engineer with a passion for designing and implementing impactful AI and automated solutions? Do you thrive on seeing your models and systems directly transform how Sales teams win, Project Managers deliver, and Innovation Engineers create?
We're looking for a visionary and hands-on Data Science Engineer to join our growing team. You'll play a role in architecting, developing, and deploying AI-driven tools and automated workflows that directly enhance the efficiency, intelligence, and strategic capabilities of our critical internal stakeholders. This isn't just about building models; it's about building solutions that empower our people and accelerate our business.
What You'll Do & The Impact You'll Make:
Strategic AI Implementation: Lead the end-to-end design, development, and deployment of robust AI and machine learning solutions specifically tailored for our Sales, Project Management, and Innovation Engineering functions.For Sales: Imagine predictive lead scoring, automated proposal generation assistance, personalized sales enablement content, or smart customer churn prediction.For Project Managers: Think intelligent resource allocation, risk prediction, automated progress reporting, or optimized project scheduling.For Innovation Engineers: Envision AI-powered ideation tools, automated patent searches, market trend analysis, or rapid prototyping support.Problem Solver & Innovator: Work closely with stakeholders to deeply understand their challenges, identify high-impact opportunities for automation and AI, and translate complex business problems into viable technical solutions.Full Lifecycle Ownership: From data acquisition and feature engineering to model training, deployment (MLOps), monitoring, and continuous improvement – you'll own the entire lifecycle of your solutions.Architect & Build: Design and implement scalable, resilient, and performant data pipelines and machine learning infrastructure.Thought Leadership & Collaboration: Act as a subject matter expert in data science and AI, mentoring junior engineers and fostering a culture of innovation and data-driven decision-making across the organization.Technology Explorer: Stay ahead of the curve on emerging AI/ML technologies and evaluate their potential application within our business.What We're Looking For (Your Superpowers):
Hands-on experience in Data Science or Machine Learning Engineering, with a strong portfolio of deployed solutions.Deep expertise in:Programming languages: Python (essential), SQL.ML frameworks: TensorFlow, PyTorch, Scikit-learn, XGBoost, etc.Data manipulation and analysis libraries: Pandas, NumPy.Cloud platforms: AWS, Azure, or GCP (experience with MLOps tools/services on one of these is highly desirable).Proven ability to build and deploy robust, production-grade machine learning systems. Strong understanding of various ML algorithms (supervised, unsupervised, deep learning, NLP, time series) and when to apply them effectively.Excellent communication and collaboration skills: Ability to articulate complex technical concepts to non-technical audiences and work effectively with cross-functional teams.Problem-solving mindset: You're not just executing tasks; you're finding the best solutions to real-world business problems.Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related quantitative field.Bonus Points If You Have:
Automotive-related hobby and/or experience working with engines or vehicles. Experience with specific domains relevant to Sales (CRM data), Project Management (Jira/Asana APIs), or Innovation (IP data, market research APIs).Prior experience in a consulting or product development environment where you delivered solutions to diverse internal or external customers.Knowledge of data visualization tools (Tableau, Power BI, Streamlit) to convey insights effectively.QualificationsMinimum Qualifications
Must be currently enrolled in an accredited university and pursuing a Bachelors or Masters degree in Engineering, Data Science, Computer Science or Business Administration with at least one semester completed1+ year academic or industry experience with software languages and operating systems.A minimum 3.0 GPAMust be a minimum of 18 years of ageMust work 30-40 hours per weekIndefinite U.S. work authorized individuals only. Future sponsorship for work authorization unavailable.
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. Candidates who have been offered the position must pass both screenings before their start date.
Read LessWe Are Bosch.
At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry.
Let’s grow together, enjoy more, and inspire each other. Work #LikeABosch
Powertrain Solutions is a provider of diversified powertrain products and solutions in our three market segments Electric Vehicles (EL), Passenger Cars (PC), and Commercial Vehicles / Off-Road (CV/OR) – from gasoline and diesel injection to electric drives with battery and fuel cell technologies.
As a Ford Customer Team Intern, the overall purpose of this role is to gain experience and training while assisting with departmental tasks in Sales, Innovation Management, and Project Management. Essential Duties and Responsibilities include:
Onsite located in Farmington Hills officeExecution of sales-related activities to maintain and expand business opportunities in the areas of fuel injection systems, thermal management, and sensors. Support with Sales planning and coordination of tasks to ensure on-going customer satisfactionSupport the Innovation Managers in executing pre-development / co-development projectsQualificationsMinimum Qualifications:
Currently enrolled and pursuing a Bachelor’s or Master’s in Engineering from a 4 year universityMinimum GPA 3.5Sophomore or higher class standingSelf-starting, results oriented, flexible, team playerStructured working approach to high quality standardsStrong analytical and mathematical skillsGood attention to detail, decision making, and problem solvingAble to present self well when communicatingStrong MS Office skills, particularly Excel and PowerPointEnglish language proficiencyIndefinite U.S. work authorized individuals only. Future sponsorship for work authorization unavailable.
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. Candidates who have been offered the position must pass both screenings before their start date.
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FHP Manufacturing is a leader in the production of geothermal and water source heat pumps, providing some of the most efficient heating and cooling comfort solutions in the industry.
Job DescriptionAll your information will be kept confidential according to EEO guidelines.
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We Are Bosch.
At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry.
Let’s grow together, enjoy more, and inspire each other. Work #LikeABosch
Reinvent yourself: At Bosch, you will evolve.Discover new directions: At Bosch, you will find your place.Balance your life: At Bosch, your job matches your lifestyle.Celebrate success: At Bosch, we celebrate you.Be yourself: At Bosch, we value values.Shape tomorrow: At Bosch, you change lives.The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group (www.bosch.com), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.
Job DescriptionBosch Research and Technology in Pittsburgh is seeking a motivated student intern to join our research team exploring advanced machine learning applications in IoT and smart home systems. This position is part of an exciting effort to explore intelligent multi-modal sensing at the intersection of deep learning and signal processing, with projects spanning smart home automation, connected appliances, and innovative ways to enhance everyday user experiences. You will contribute to building, testing, and refining machine learning models for sensor data analysis and work alongside experienced researchers to translate innovative ideas into practical applications.
Responsibilities:
Assist in research and development of multi-sensor data fusion techniques using data such as acoustic, vibration, radar, lidar, image, Wi-Fi, time series, and ultrasound signals.Support the design, training, and evaluation of multi-modal machine learning models for smart home, IoT, or manufacturing use cases.Collaborate with cross-functional teams to help prototype and test new sensing solutions.Document and communicate research findings clearly, contributing to internal reports, presentations, and potential publications or patents.Stay up-to-date with emerging technologies and assist in exploring novel applications for IoT and smart home systems.Benefits:
Hands-on experience with cutting-edge multi-sensor and machine learning research.Mentorship from experienced researchers in IoT, home appliances, and cyber-physical systems.Opportunity to contribute to real-world projects with potential impact on products and processes.QualificationsQualifications
Required:
Currently pursuing a PhD in Computer Science, Electrical Engineering, Data Science, or a related technical field.Broad knowledge of machine- and deep-learning algorithms and principles and state-of-the-art methods.Familiarity with sensors, IoT devices, or cyber-physical systems is a plus.Proficiency in Python and experience with ML frameworks such as PyTorch or TensorFlow.Strong communication skills and an ability to work collaboratively in a research environment.Enthusiasm for learning and applying new technologies.Minimum GPA of 3.0Desired:
Experience using raw sensor data (eg. Radar, acoustic etc.) in machine learning projects.Knowledge of digital signal processing principle and methods, multimodal representation learning.Publication record in top machine learning and signal processing venues.Experience with additional programming languages (C, C++) or embedded systems.Interest in computer systems, networking, or signal processing.Equal Opportunity Employer, including disability / veterans.
Please note that employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.
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The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group (www.bosch.com), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.
As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions.
Originating from the AI research in Silicon Valley, our Intelligent Autonomous Systems group is responsible for enabling future autonomous Bosch products by pushing the boundaries of robotics, automated driving and automation through key innovations that encompass system architecture and AI components. These include methods for localization, motion planning, high level task planning and decision making as well as systems for making these technologies work on real products by building frameworks that take advantage of technologies in the field of reliable distributed computing. We work with internal partners of different Bosch business units to transfer our solutions into future products. We also actively collaborate with leading groups in academia and industry to promote research ideas and publish research findings in internationally renowned conferences and journals such as CVPR, ICRA, IROS, RSS, NeurIPS and CoRL.
Job DescriptionAs the Distributed Embodied AI Systems intern, you will perform research on future prediction for latency mitigation in distributed embodied AI systems.
A few of your responsibilities will include:
Research existing approaches to future prediction for the purposes of latency mitigation.Test ideas that fit our use-case of offloading perception and planning to the cloud. In particular, the evaluated approach needs to handle short but variable latencies, error in latency prediction, and packet drops.Report experimental results and prepare a draft to a high-quality conference.QualificationsBasic Qualifications
Ph.D. student in Computer Science, Robotics or related fields (Must be a current student)Experience training and using deep neural network models.Experience in cloud, networking, or computer systems.Solid Python skills and proficient with libraries such as MMCV and PyTorch.Minimum GPA of 3.0Preferred Qualifications
Publication record in top venues including CVPR, ICCV, ECCV, ICRA and IROSFocus on future prediction for video or point clouds.Focus on various application-level strategies for latency mitigation.Extensive skill running experiments in network simulations, CARLA, and real setups.Able to work independently, has strong research and problem-solving skillsGood communication and teamwork skillsThe U.S. base salary range for this intern position is $39.00 - $64.00. Within the range, individual pay is determined based on several factors, including, but not limited to, type of degree, work experience and job knowledge, complexity of the role, type of position, job location, etc. Your Hiring Manager can share more details about the specific salary range for this position during the interview process.*
BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) Initiatives
FIRST Robotics (For Inspiration and Recognition of Science and Technology)AWIM (A World In Motion)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. Candidates who have been offered the position must pass both screenings before their start date.
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“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 DescriptionAs 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. QualificationsBasic Qualifications:
Master’s degree or Ph.D in Computer Science, Robotics, Electrical Engineering, AI, or a closely related field with a focus on autonomous systems 10+ 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 scalePreferred 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.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. Candidates who have been offered the position must pass both screenings before their start date.
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