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Director, Engineering - Autonomous Vehicles

NVIDIA· Mgmt, Sys SW
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Santa Clara, CA$320k - $488.8kfull-timePosted 1mo ago

About the role

Director-level technical leader to define and build NVIDIA’s next-generation autonomous driving architecture, spanning classical safety-focused autonomy and learning-based approaches, and to lead a world-class engineering organization across prediction, planning, control, safety, end-to-end driving, and foundation models for production autonomous vehicles.

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 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.

Qualifications

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

Skills

Required:Technical leadershipAutonomous driving system designEnd-to-end learning-based autonomy

Benefits

  • equity
  • benefits (as referenced in posting)
Last updated Sep 4, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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