Principal OEM Execution Lead, Autonomous Driving Solutions
NVIDIA· Engineer, Sys SW
Santa Clara, CA$272k - $431.3kFull-timePosted 4w ago
About the role
Lead end-to-end NVIDIA DRIVE Autonomous Driving Software (NDAS) execution for strategic automotive OEMs, driving adaptation, integration, validation, and production readiness across vehicle lines from product definition to production deployment.
Responsibilities
- Lead NDAS execution with major OEMs across the full program lifecycle — from feature definition and technical alignment through vehicle integration, validation, launch, and production ramp — owning the coordinated engineering plan per vehicle line, including requirements, architecture, adaptation scope, achievements, staffing, validation strategy, release criteria, and production-readiness gates.
- Translate OEM vehicle requirements and use cases into clear commitments for NVIDIA teams, build scalable, repeatable workflows for adapting NDAS to OEM platforms, architectures, sensor configurations, compute platforms, networks, and development processes.
- Drive multi-functional implementation across autonomous-driving features, systems, platform software, vehicle integration, functional safety, cybersecurity, validation, quality, release, and field engineering.
- Establish a rigorous operating cadence with actionable achievements, objective readiness metrics, risk and dependency management, decision logs, and clear paths for addressing customer concerns.
- Direct technical issue resolution across systems, safety, and development groups — determining root causes, clarifying ownership, surfacing tradeoffs, and ensuring lasting closure without slowing progress.
- Represent program health and technical readiness in reviews with OEM engineering leaders and NVIDIA executives, communicating decisions, risks, recovery plans, and resource needs clearly.
- Ensure lessons from each vehicle program feed back into product, tooling, documentation, test infrastructure, and integration model to improve subsequent OEM programs.
- Develop leaders and strengthen a culture of ownership, transparency, engineering rigor, and customer dedication across the extended program team.
Qualifications
- BS or MS in Computer Science, Computer Engineering, Electrical Engineering, Robotics, or related field, or equivalent experience.
- 15+ years of relevant experience in automotive software, autonomous driving, embedded systems, vehicle platforms, or other complex safety-critical product domains, 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, software release processes, and system-level validation.
- Proven ability to lead large multi-functional programs in a matrixed organization and to resolve ambiguous, high-impact issues spanning organizational boundaries.
- Working knowledge of Automotive SPICE, ISO 26262, ISO/SAE 21434, SOTIF, cybersecurity, change control, and production-quality processes.
- Strong written and verbal communication skills, along with customer-facing leadership with judgment to balance OEM priorities, product integrity, safety, schedule, quality, and long-term platform scalability.
- Willingness to travel to OEM and engineering sites as program needs require.
Skills
Required:NDAS program managementSystems engineering leadershipVehicle integration and validation
Benefits
- Equity
- Benefits (see company page)
Last updated Sep 25, 2026. Interested? Apply on the company site.
About NVIDIA
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