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