Senior Principal Engineer- MLOps & AI Machinery, ADAS/AV

Robert Bosch Group; Sunnyvale (CA); On-site; USD 240,000 - 320,000; Full time

Benefits offered by this job

Comprehensive health, dental, and vision plans

401(K) retirement plan with employer match

Paid time off

Parental leave

Job summary

Bosch Group in Sunnyvale, California is seeking a Senior Principal Engineer for MLOps and AI Machinery in Autonomous Driving Systems. This role involves spearheading the development and optimization of AI machinery for various autonomous driving E2E products.

The ideal candidate will have over a decade of experience in software development and system engineering, a strong background in releasing AI-based L2+ systems, and skills in both programming and deep learning frameworks.

This position offers a competitive salary range of $240,000 – $320,000, along with a comprehensive benefits package.

Qualifications

• 10+ years of experience in software development and system engineering for autonomous driving or ADAS applications.
• Proven track record of leading the end-to-end development and successful deployment of complex AI-powered systems into production environments.
• Deep knowledge of E2E AI stack solutions, including reinforcement learning and optimization techniques.

Responsibilities

• Define and drive execution of the technical roadmap and strategy for the E2E AI machinery.
• Collaborate closely with functional tech leads to define the overall architecture of the AI machinery ecosystem.
• Guide the transition from research prototypes to production-ready solutions.

Skills

Machine Learning Operations (MLOps)

Deep Learning (TensorFlow, PyTorch)

Software Development

System Engineering for Autonomous Vehicles

Cloud-Based Training Pipelines

Education

Master’s degree or Ph.D. in Computer Science, Robotics, Electrical Engineering, AI

Tools

Python

C++

Job description

Senior Principal Engineer- MLOps & AI Machinery for Autonomous Driving Systems

As the Senior Principal Engineer- MLOps & AI Machinery 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.

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 CICD 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 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

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.