Principal OEM Execution Lead, Autonomous Driving Solutions

Details

Own the end-to-end execution that takes NVIDIA DRIVE Autonomous Driving Software (NDAS) from product definition to production deployment across major OEM vehicle lines. Lead the adaptation, integration, validation, and production readiness of NVIDIA autonomous driving solutions for strategic automotive OEMs, working between NVIDIA product and engineering teams and OEM vehicle, software, systems, and validation groups.

The role involves converting an agreed feature set into a deliverable vehicle program by clarifying requirements, coordinating interfaces and responsibilities, setting the engineering plan, building consistent productization workflows, and managing issue resolution. You will influence systems engineering, autonomous-driving development, platform software, functional safety, cybersecurity, quality, validation, release, and customer engineering teams.

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.
• Own the coordinated engineering plan for each 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.
• Ensure OEM partners understand product capabilities, constraints, assumptions, and the work required on their side.
• Build scalable, repeatable workflows for adapting NDAS to specific OEM platforms, vehicle architectures, sensor configurations, compute platforms, networks, and development processes.
• Drive multifunctional implementation across autonomous-driving features, systems, platform software, vehicle integration, functional safety, cybersecurity, validation, quality, release, and field engineering.
• Establish an 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, security, and development groups by determining root causes, clarifying ownership, surfacing tradeoffs, and ensuring lasting closure.
• Represent overall program health and technical readiness in reviews with OEM engineering leaders and NVIDIA executives, communicating decisions, risks, recovery plans, and resource needs.
• Ensure lessons from each vehicle program feed back into the product, tooling, documentation, test infrastructure, and integration model.
• Develop leaders and strengthen a culture of ownership, transparency, engineering rigor, and customer dedication across the extended program team.

Requirements

• BS or MS in Computer Science, Computer Engineering, Electrical Engineering, Robotics, or a related field, or equivalent experience.
• 15+ years of relevant experience in automotive software, autonomous driving, embedded systems, vehicle platforms, or another complex safety-critical product domain, including significant technical and organizational leadership.
• Demonstrated success taking a complex automotive software product from requirements and architecture through integration, validation, start of production (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 multifunctional programs in a matrixed organization and resolve ambiguous, high-impact issues spanning organizational boundaries.
• Working knowledge of automotive development and compliance practices such as 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 and the 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.

Preferred Qualifications

• 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.
• A record of converting customer-specific integration work into reusable platform capabilities and scalable engineering workflows.
• Experience leading distributed engineering organizations and joint execution models across North America, Europe, and Asia.
• Ability to translate an executive decision into the corresponding system behavior, logs, interfaces, test evidence, and corrective action required to resolve an issue.

NVIDIA is building the accelerated computing platform for autonomous vehicles and physical AI. This role offers the opportunity to develop how a full-stack autonomous-driving product is industrialized with leading automakers and turn advanced AI and software into safe, scalable production vehicles.

Compensation and Benefits

The base salary range is USD 272,000–431,250 per year, determined based on location, experience, and the pay of employees in similar positions. The role is also eligible for equity and benefits.

Applications will be accepted at least until September 25, 2026. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.