# Senior Principal Engineer- End-to-End AI Training…

> Senior Principal Engineer- End-to-End AI Training Framework at Bosch Group in Sunnyvale, United States. Salary: USD 240K - 320K. Category: Engineering Jobs.…

Senior Principal Engineer- End-to-End AI Training Framework

# Senior Principal Engineer- End-to-End AI Training Framework

Bosch Group

## Job Description

Job Description

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 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

Equal Opportunity Employer, including disability / veterans

Posted September 6, 2026

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