Director Of Engineering - Autonomous Vehicles

at Nvidia

📍 Santa Clara, United States

USD 320,000-488,800 per year

SENIOR

✅ On-site

Tech Stack
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1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 4 Algorithms Communication @ 7 LLM Leadership @ 6 Machine Learning @ 7 Robotics @ 4 Technical Leadership @ 6

Details

NVIDIA is building the future of autonomous driving—from the silicon to the full-stack AI systems that power next-generation robots on wheels. The role focuses on building a data engine powering advanced AI platforms, including systems and algorithms for extracting intelligence from petascale fleets.

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 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.
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 From The Crowd

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.

NVIDIA offers highly competitive salaries and a comprehensive benefits package (equity and benefits eligibility noted).