Director of Engineering - Autonomous Vehicles

Details

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing — an era in which GPUs act as the brains of computers, robots, and self-driving cars that can understand the world. This role sits within NVIDIA's autonomous driving efforts and focuses on building the data engine powering large-scale AI platforms for AVs.

Responsibilities

• Lead, encourage, and develop world-class engineering and data teams distributed across Europe and the United States.
• Architect and operationalize NVIDIA's end-to-end data curation strategy, powering AI training, simulation, and continuous autonomous vehicle performance improvements.
• Invent and deploy new algorithms that mine, classify, and surface the most valuable driving scenarios from massive real-world and simulated datasets.
• Collaborate with NVIDIA research, AV perception, mapping, simulation, and fleet operations teams to ensure timely, high-fidelity data delivery.
• Drive scale: build systems that operate reliably across billions of frames, thousands of edge cases, and diverse sensor configurations.
• Champion data quality and metadata standards that accelerate development and improve safety and performance.

Requirements

• 15+ overall years of industry experience including 5+ years in technical leadership, director-level, or equivalent roles.
• Bachelor's degree or equivalent experience.
• Demonstrated success leading distributed engineering or data-focused teams.
• Deep understanding of algorithm development for data mining, filtering, clustering, or scenario discovery.
• Hands-on experience with VLMs, LLMs, or multimodal AI systems applied to perception, data triage, or automated labeling.
• Prior experience in the autonomous vehicle ecosystem — perception, mapping, robotics, ADAS/AD, or AV data workflows.
• Strong expertise in large-scale data processing, systems build, or machine learning pipelines.
• Strong communication, careful planning, and technical leadership capabilities.

Ways to Stand Out

• Hands-on experience with AV scenario mining, drive replay, or simulation feedback loops.
• Experience building automated data quality frameworks or annotation workflows for perception systems.
• Ability to drive clarity and alignment across research, engineering, and product leadership.

Compensation and Benefits

• Base salary range: 308,000 USD - 471,500 USD (final base salary determined by location, experience, and pay of employees in similar positions).
• Eligible for equity and comprehensive benefits (see: https://www.nvidia.com/en-us/benefits/).

Other Information

• Applications for this job will be accepted at least until December 15, 2025.
• NVIDIA is an equal opportunity employer committed to a diverse work environment.