Director, Autonomous Driving Architecture & AI Platform

NVIDIA Corporation; Santa Clara (CA); On-site; USD 320,000 - 489,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA seeks a Director-level technical leader to define the architecture for the next-generation autonomous driving stack, spanning classical and learning-based approaches. You will lead an organization across prediction, decision making, planning, control, and safety, delivering end-to-end, data-driven pipelines in production.

This role requires a PhD or advanced degree with extensive leadership experience, and a proven ability to recruit and mentor top engineers.

Qualifications

• PhD with 12+ years, MS with 10+ years, or BS (or equivalent) with 15+ years of relevant industry experience in Computer Science, Computer Engineering, Robotics, Machine Learning, or a related field.
• 8+ years of experience leading a team.
• Extensive knowledge of traditional driverless vehicle system designs, including prediction, planning, decision making, control, safety, redundancy, and fallback systems.
• Solid grasp of modern learning-based autonomy, including end-to-end driving models, foundation models, large-scale machine learning systems, or embodied AI.
• Experience driving end-to-end self-driving system builds and understanding interactions involving perception as well as planning and control.
• Demonstrated ability to attract, recruit, mentor, and grow exceptional engineering talent.
• Excellent interpersonal skills with a capacity to influence technical experts, executives, researchers, and cross-functional partners.

Responsibilities

• Set the technical vision and architecture for NVIDIA’s next-generation autonomous driving stack, spanning both classical and learning-based approaches.
• Build and lead a high-performing organization of engineers and technical leaders across Prediction, Decision Making, Planning, Control, and Safety.
• Define how classical safety-critical autonomy and learned driving systems work together within a unified production architecture.
• Drive the architecture for robust system-level safety, redundancy, fallback, and degraded-mode strategies.
• Lead the development and productionization of end-to-end, data-driven autonomous driving pipelines, from perception and reasoning through trajectory building and vehicle operation.
• Advance large-scale vision-language-action (VLA) / driving foundation models and their integration into production autonomous vehicles.
• Partner closely with research teams to translate breakthroughs in robotics, embodied AI, foundation models, and generative AI into production self-driving technology.

Skills

Technical leadership

Driverless vehicle systems

End-to-end autonomous driving

Team leadership

Learning-based autonomy

Talent recruitment & mentoring

Interpersonal skills

Education

PhD

MS

BS or equivalent

Tools

CUDA

GPU computing

Accelerated AI infrastructure

Job description

NVIDIA seeks a Director-level technical leader to define the architecture for the next-generation autonomous driving stack, spanning classical and learning-based approaches. You will lead an organization across prediction, decision making, planning, control, and safety, delivering end-to-end, data-driven pipelines in production.

This role requires a PhD or advanced degree with extensive leadership experience, and a proven ability to recruit and mentor top engineers.