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Bosch · 2 months ago

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

Sunnyvale, CA

Full-time

Onsite

Senior Level, Lead/Staff

$240K/yr - $320K/yr

10+ years exp

Bosch Group is focused on advancing future mobility through autonomous vehicles. They are seeking a Senior Principal Engineer for the End-to-End AI Training Framework for Autonomous Driving Systems, responsible for developing and optimizing AI machinery for various autonomous driving products and leading a high-caliber team in this innovative field.

Industrial EngineeringMechanical EngineeringSensorSoftwareSoftware Engineering

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

Qualification

E2E AI stack solutionsAI frameworks TensorFlowAI frameworks PyTorchModel optimizationMLOpsCICDProgramming PythonProgramming C++Simulation tools (SIL/HIL)Automotive safety standardsLeadership skillsCommunication skillsProblem-solving abilities

Required

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