Director of Engineering – Autonomous Vehicles
NVIDIA
full-time
Posted on:
Location Type: Hybrid
Location: Santa Clara • California, Washington • 🇺🇸 United States
Visit company websiteSalary
💰 $308,000 - $471,500 per year
Job Level
Lead
About the role
- 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 AV performance improvements.
- Invent and deploy brand new algorithms that mine, classify, and surface the most valuable driving scenarios from massive real-world and simulated datasets.
- Collaborate closely 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.
- Bachelors 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.
Benefits
- Comprehensive benefits package
- Equity opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
algorithm developmentdata miningdata filteringdata clusteringscenario discoverylarge-scale data processingmachine learning pipelinesVLMsLLMsmultimodal AI systems
Soft skills
technical leadershipcommunicationplanningteam leadershipcollaborationencouragementdevelopment
Certifications
Bachelor's degree