Bosch USA
Senior Principal Engineer- End-to-End AI Training Framework
Bosch USA, Sunnyvale, California, United States, 94087
Senior Principal Engineer - End-to-End AI Training Framework
Company : Bosch
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 within our L2+ ADAS stack. You will define and drive the technological roadmap for the AI machinery, ensuring its scalability, reliability, and performance. The ideal candidate has prior industry experience in releasing AI-based L2+ systems with a proven track record of translating research into production-grade solutions.
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 with other functional tech leads (e.g., data engineering, infrastructure) to define and drive the overall architecture of the AI machinery ecosystem.
Guide the setup 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 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 systems
10+ years of experience in software development and system engineering for autonomous driving or ADAS applications
Proven industry experience in releasing AI-based L2+ systems, with a strong track record of successful product deployments
Deep knowledge of E2E AI stack solutions and training algorithms, including reinforcement learning and imitation learning, as well as motion control and optimization techniques
Deep knowledge of AI frameworks such as TensorFlow and PyTorch
Deep knowledge in model optimization and embedded deployment of E2E AI stacks to embedded automotive hardware
Deep knowledge of cloud-based scalable training pipelines, MLOps, and CI/CD for training AI models with large-scale fleet datasets
Proven 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 factors including experience, knowledge, role complexity, and location. This range does not include annual bonus or other monetary considerations for the total compensation package. The recruiter can share more details during the interview process.
In addition to base salary, Bosch offers a comprehensive benefits package including health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(k) with employer match; wellness programs; life insurance; long-term disability; paid time off; and parental leave.
Equal Opportunity Employer, including disability / veterans. Employment is contingent upon successful completion of a drug screen and background check.
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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 within our L2+ ADAS stack. You will define and drive the technological roadmap for the AI machinery, ensuring its scalability, reliability, and performance. The ideal candidate has prior industry experience in releasing AI-based L2+ systems with a proven track record of translating research into production-grade solutions.
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 with other functional tech leads (e.g., data engineering, infrastructure) to define and drive the overall architecture of the AI machinery ecosystem.
Guide the setup 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 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 systems
10+ years of experience in software development and system engineering for autonomous driving or ADAS applications
Proven industry experience in releasing AI-based L2+ systems, with a strong track record of successful product deployments
Deep knowledge of E2E AI stack solutions and training algorithms, including reinforcement learning and imitation learning, as well as motion control and optimization techniques
Deep knowledge of AI frameworks such as TensorFlow and PyTorch
Deep knowledge in model optimization and embedded deployment of E2E AI stacks to embedded automotive hardware
Deep knowledge of cloud-based scalable training pipelines, MLOps, and CI/CD for training AI models with large-scale fleet datasets
Proven 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 factors including experience, knowledge, role complexity, and location. This range does not include annual bonus or other monetary considerations for the total compensation package. The recruiter can share more details during the interview process.
In addition to base salary, Bosch offers a comprehensive benefits package including health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(k) with employer match; wellness programs; life insurance; long-term disability; paid time off; and parental leave.
Equal Opportunity Employer, including disability / veterans. Employment is contingent upon successful completion of a drug screen and background check.
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