Director, Engineering - Autonomous Vehicles

What you'll do

• Set the technical vision and architecture for the next-generation autonomous-driving stack, integrating classical and learning-based approaches.
• Build and lead engineering teams across prediction, decision making, planning, control, and safety.
• Drive system safety architecture and productionize end-to-end driving pipelines and foundation models.

What they ask for

• Relevant industry experience in Computer Science, Computer Engineering, Robotics, Machine Learning, or a related technical field: PhD with 12+ years, MS with 10+ years, or BS (or equivalent experience) with 15+ years.
• 8+ years of experience leading a team.
• Extensive knowledge of traditional driverless vehicle systems, including prediction, planning, decision making, control, safety, redundancy, and fallback.
• Experience building end-to-end self-driving systems and solid grasp of learning-based autonomy.

Nice to have

• Experience building hybrid AV architectures combining classical safety systems with end-to-end learned driving.
• Experience with VLA frameworks, large-scale multimodal systems, generative approaches, CUDA, GPU computing, or accelerated AI infrastructure.

Pay

320,000 USD - 488,750 USD (base salary)

Tools

CUDA

AI focus

Leads integration of end-to-end driving, vision-language-action (VLA) and driving foundation models, large-scale machine learning, embodied AI, and generative AI into production autonomous vehicles.