Senior Principal Engineer- Autonomous Driving (ADAS) Data Loop & Flywheel

As the Senior Principal Engineer – ADAS & AV Data Loop & AI Flywheel, you will spearhead the architectural strategy, design, and execution of the end-to-end continuous data engine powering Bosch XC’s L2+ ADAS and autonomous driving stacks (e.g., driving, parking, interior sensing) across entry, mid, and high-tier vehicle platforms.

You will serve as the chief technical authority driving the software, data loop, and MLOps machinery that automatically ingests raw fleet logs, curates high-value edge cases, auto-labels datasets, retrains deep learning models, and validates releases for embedded automotive platforms.

Key Responsibilities

• Define and execute the technical roadmap and strategy for the E2E Autonomous Driving Data Engine, including fleet data loop automation, active learning pipelines, auto-labeling, simulation, and MLOps tooling.
• Oversee the end-to-end architecture, development, and testing of the AI data flywheel and its seamless interaction with edge fleet triggers, cloud data lakes, model repositories, and automotive target hardware.
• Collaborate closely with cross-functional leads (data engineering, cloud infrastructure, embedded runtime SOC teams) to define, drive, and scale the integrated AI machinery ecosystem.
• Establish a rapid-evaluation development framework that accelerates the benchmarking, active learning selection, and continuous integration of emerging multimodal E2E AI solutions (e.g., Transformers, Occupancy Networks, Vision-Language models).
• Guide the transition of raw fleet log data and research prototypes into scalable, production-grade training and auto-labeling pipelines, ensuring runtime performance optimization on automotive-grade hardware.
• Leverage prior industry experience launching AI-based L2+ systems to implement automated validation workflows, scenario-based testing (SIL/HIL), and continuous feedback loops aligned with automotive safety standards (ISO 26262, ISO 21448 / SOTIF).
• Mentor and lead a high-caliber team of AI scientists and software engineers, establishing technical excellence in automated data engines and large-scale AI machinery.