Drimva

NVIDIA

Principal OEM Execution Lead, Autonomous Driving Solutions

$272K–$431K

US, CA, Santa Clara · Principal · Full-time · Posted Sep 21, 2026

Experience
15+ years of relevant experience.
Education
BS or MS in Computer Science, Computer Engineering, Electrical Engineering, Robotics, or a related field, or equivalent experience.

About the job

Leads end-to-end OEM engineering execution to adapt, integrate, validate, launch, and bring NVIDIA DRIVE Autonomous Driving Software into production across vehicle lines.

What you'll do

  • Own the coordinated engineering plan and production-readiness gates for each vehicle program.
  • Coordinate NVIDIA and OEM teams, manage risks and technical issue resolution, and communicate program health and readiness.
  • Feed program lessons into product, tooling, documentation, testing, and integration workflows.

What they ask for

  • BS or MS in Computer Science, Computer Engineering, Electrical Engineering, Robotics, or a related field, or equivalent experience.
  • 15+ years of relevant experience, including significant technical and organizational leadership.
  • Demonstrated success taking a complex automotive software product from requirements and architecture through integration, validation, SOP, and production support with a major OEM.
  • Strong technical understanding of system and software architecture, embedded compute, vehicle networks, sensor and actuator interfaces, diagnostics, release processes, and system-level validation.

Nice to have

  • Direct leadership experience launching L2+/L3 autonomous-driving or advanced driver-assistance functions on multiple vehicle lines.
  • Experience with centralized vehicle compute, DRIVE OS, AUTOSAR, real-time operating systems, middleware, sensor integration, data collection, simulation, SIL/HIL/VIL, and fleet validation.

Pay

272,000 USD - 431,250 USD (base salary)

Tools

NVIDIA DRIVE Autonomous Driving Software (NDAS), Automotive SPICE, ISO 26262, ISO/SAE 21434, DRIVE OS, AUTOSAR, SIL/HIL/VIL

AI focus

Leads OEM adaptation, integration, validation, and production deployment of autonomous-driving software; the posting also states that NVIDIA uses AI tools in its recruiting processes.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)