Director, Engineering - Autonomous Vehicles

NVIDIA
United States
Workplace: OnsiteFull timeUSD 320,000 - 488,750 annuallyFunction: Executive & General ManagementExperience: 8+ yearsEducation: phdSkills: ["Technical leadership","Interpersonal skills","Ability to influence","Mentorship","Cross-functional collaboration"]

Set the technical vision and architecture for next-generation autonomous driving by integrating classical safety systems with learning-based approaches. Build and lead an organization spanning prediction, decision making, planning, control, and safety, driving system-level safety and productionization of end-to-end self-driving pipelines. Advance vision-language-action/driving foundation models and partner with research teams to translate breakthroughs into deployable autonomous vehicle technology at scale.

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FursaFursa
NVIDIA
NVIDIA
5 days ago

Director, Engineering - Autonomous Vehicles

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Set the technical vision and architecture for next-generation autonomous driving by integrating classical safety systems with learning-based approaches. Build and lead an organization spanning prediction, decision making, planning, control, and safety, driving system-level safety and productionization of end-to-end self-driving pipelines. Advance vision-language-action/driving foundation models and partner with research teams to translate breakthroughs into deployable autonomous vehicle technology at scale.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Executive & General Management
Seniority: Director level

Key Responsibilities

  • •Set the technical vision and architecture for NVIDIA’s next-generation autonomous driving stack across classical and learning-based approaches.
  • •Build and lead a high-performing engineering organization across Prediction, Decision Making, Planning, Control, and Safety.
  • •Define how classical safety-critical autonomy and learned driving systems work together in a unified production architecture.
  • •Drive robust system-level safety, redundancy, fallback, and degraded-mode strategies.
  • •Lead productionization of end-to-end autonomous driving pipelines and integrate driving foundation models into production vehicles.

Pay and Benefits

Salary: USD 320,000 - 488,750 annually
Equity and Bonus:Equity

Key Requirements

  • •PhD with 12+ years, MS with 10+ years, or BS (or equivalent) with 15+ years in Computer Science, Computer Engineering, Robotics, Machine Learning, or a related technical field.
  • •8+ years of experience leading a team, including senior engineers, architects, and/or engineering managers on production systems.
  • •Extensive knowledge of 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, or embodied AI.
  • •Demonstrated ability to attract, recruit, mentor, and grow exceptional engineering talent.
Experience:8+ yearsAutonomous drivingRoboticsMachine learningComputer vision
Education:PhD / Doctorate
Skills:Technical leadershipInterpersonal skillsAbility to influenceMentorshipCross-functional collaboration
Tech Stack:CUDAGPU computingAccelerated AI infrastructureVision-language-action (VLA)Foundation models

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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