Director of Engineering - Autonomous Vehicles

Details

NVIDIA is building the future of autonomous driving, from silicon to full-stack AI systems powering next-generation robots on wheels. The team is developing data systems and algorithms that extract intelligence from petascale fleets to support AI training, simulation, and continuous autonomous-vehicle performance improvements.

Responsibilities

• Lead, encourage, and develop engineering and data teams distributed across Europe and the United States.
• Architect and operationalize NVIDIA’s end-to-end data curation strategy for AI training, simulation, and continuous autonomous-vehicle performance improvements.
• Invent and deploy algorithms that mine, classify, and surface valuable driving scenarios from massive real-world and simulated datasets.
• Collaborate with research, autonomous-vehicle perception, mapping, simulation, and fleet operations teams to ensure timely, high-fidelity data delivery.
• 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+ years of overall 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, including perception, mapping, robotics, ADAS/AD, or autonomous-vehicle data workflows.
• Strong expertise in large-scale data processing, systems development, or machine-learning pipelines.
• Strong communication, planning, and technical leadership capabilities.

Preferred Qualifications

• Hands-on experience with autonomous-vehicle 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.

Benefits

• Base salary range: $320,000–$488,750 USD per year.
• Eligibility for equity and benefits.
• Comprehensive benefits package.
• NVIDIA is an equal-opportunity employer committed to an inclusive work environment.

Applications for this job will be accepted at least until July 25, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.