Director of Autonomous Driving Architecture & AI Systems

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

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation seeks a Director-level leader to define the architecture for the next-generation autonomous driving stack and to build a world-class engineering organization in Santa Clara. You will guide teams across prediction, planning, control, safety, and large-scale models to productionize advanced self-driving technology.

The role demands deep expertise in both classical safety-driven autonomy and modern learning-based approaches, plus strong leadership, collaboration with research,

Qualifications

• PhD/MS/BS with extensive industry experience in autonomous driving, machine learning, or robotics.
• Proven leadership of senior engineers, architects, or managers on production systems.
• Deep knowledge of driverless vehicle architectures including prediction, planning, control, safety, and redundancy.

Responsibilities

• Set the technical vision and architecture for NVIDIA’s next-generation autonomous driving stack.
• Build and lead a high-performing organization across Prediction, Decision Making, Planning, Control, and Safety.
• Define integration of classical safety with learned driving systems in a unified production architecture.
• Drive robust system-level safety, redundancy, and degraded-mode strategies.
• Lead end-to-end, data-driven autonomous driving pipelines from perception to vehicle operation.
• Advance large-scale VLA / driving foundation models into production.
• Collaborate with research to translate breakthroughs into production self-driving tech.

Skills

Team leadership

Autonomy systems

End-to-end driving

Foundation models

CUDA/GPU

Recruiting/mentoring

Cross-functional collaboration

Education

PhD in CS/CE/Robotics

MS in CS/Engineering

BS or equivalent

Tools

CUDA

GPU computing

AI infrastructure

Job description

NVIDIA Corporation seeks a Director-level leader to define the architecture for the next-generation autonomous driving stack and to build a world-class engineering organization in Santa Clara. You will guide teams across prediction, planning, control, safety, and large-scale models to productionize advanced self-driving technology.

The role demands deep expertise in both classical safety-driven autonomy and modern learning-based approaches, plus strong leadership, collaboration with research,