What You’ll Be Doing
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 working 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.
What We Need To See
We’re looking for a technical and leader who has built systems, teams, and architectures—not just individual components.
PhD with 12+ years, MS with 10+ years, or BS (or equivalent experience) with 15+ overall years of relevant industry experience in Computer Science, Computer Engineering, Robotics, Machine Learning, or a related technical field. 8+ years of experience leading a team.
Significant technical leadership experience, including leading senior engineers, architects, and/or engineering managers working on sophisticated production systems.
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.
Ways To Stand Out From The Crowd
Experience building hybrid AV architectures combining classical safety systems with end-to-end learned driving.
Experience with VLA frameworks, global representations, foundational architectures, large-scale multimodal systems, or generative approaches to autonomous driving.
Experience with CUDA, GPU computing, and accelerated AI infrastructure.
A record of technical leadership through patents, publications, widely deployed systems, or significant contributions to driverless vehicle technology, robotics, or embodied AI.
#AutonomousVehicles
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 320,000 USD – 488,750 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
