Bosch
Senior Principal Engineer- Autonomous Driving (ADAS) Data Loop & Flywheel
$240K–$320K
Sunnyvale, CA, United States · Hybrid · Principal · Full-time · Posted Sep 29, 2026
- Experience
- 10+ years of software development and system architecture experience in ADAS or Autonomous Driving; mass-production experience with AI-based L2+ or L3/L4 systems required.
- Education
- Master’s degree or Ph.D. in Computer Science, Robotics, Electrical Engineering, AI, or a closely related field focused on autonomous systems.
About the job
Leads the architecture and delivery of Bosch’s end-to-end data engine and AI flywheel for L2+ ADAS and autonomous-driving systems, from fleet-log ingestion through model training and validation on automotive platforms.
What you'll do
- Set the technical roadmap for automated fleet-data pipelines, active learning, auto-labeling, simulation, and MLOps.
- Architect and oversee the AI data flywheel, including its connections to fleet triggers, cloud infrastructure, model repositories, and vehicle hardware.
- Lead and mentor engineering and AI teams, and advance production deployment, benchmarking, and automated validation of autonomous-driving models.
What they ask for
- Master’s degree or Ph.D. in Computer Science, Robotics, Electrical Engineering, AI, or a closely related field focused on autonomous systems.
- 10+ years of software development and system architecture experience in ADAS or Autonomous Driving applications.
- Track record of taking AI-based L2+ or L3/L4 autonomous-driving systems into mass production.
- Expertise in deep-learning architectures and frameworks, embedded model deployment, and cloud-native distributed training, data processing, and MLOps/CI/CD.
Nice to have
- Experience with offline high-precision auto-labeling, closed-loop simulation, or synthetic scenario generation.
- Strong Python and C++ proficiency; knowledge of ISO 26262 and ISO 21448 / SOTIF applied to deep-learning systems.
Pay
USD 240,000 - 320,000 base salary
Tools
PyTorch, TensorFlow, Ray, Kubernetes, Triton, Spark, Python, C++
AI focus
Builds and scales an autonomous-driving AI data flywheel, including active learning, automated data curation and labeling, deep-learning model training, simulation, and automated validation.
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