Senior Technical Lead- End-to-End AI Training Framework

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

Benefits offered by this job

Health, dental, and vision plans

401(K) retirement plan with employer match

Paid time off

Job summary

Bosch USA is seeking a Senior Principal Engineer for E2E AI Training Framework focused on Autonomous Driving Systems in Sunnyvale, California. This leadership role involves defining technical roadmaps and overseeing the execution of AI machinery designed to optimize and test products. The ideal candidate will have over 10 years of experience in ADAS applications, deep knowledge of AI frameworks like TensorFlow and PyTorch, and a proven record of delivering AI systems into production. A competitive salary of $240,000 – $320,000 is provided, alongside 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.

Responsibilities

• Define and drive execution of the technical roadmap and strategy for the E2E AI machinery.
• Oversee design, development, and testing of the E2E AI machinery.
• Guide transition from research prototypes to production-ready solutions.

Skills

E2E AI stack solutions

Reinforcement learning

MLOps

Python

C++

Education

Master's degree or Ph.D. in Computer Science, Robotics, Electrical Engineering, AI or related field

Tools

TensorFlow

PyTorch

Job description

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.

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, imitation learning and 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 or any other monetary considerations for the total compensation package. 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

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.