Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 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 @ 8
Robotics @ 4
Technical Leadership @ 8
- 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.
Details
NVIDIA is building the future of autonomous driving, from silicon to full-stack AI systems that power next-generation autonomous vehicles. The team is developing safe, scalable autonomy through extensive, diverse, and high-quality data gathered from consumer fleets.
The manager will guide engineering and data teams developing systems and algorithms that extract intelligence from petascale fleet data.
Responsibilities
- Lead, encourage, and develop engineering and data teams distributed across Europe and the United States.
- Architect and operationalize NVIDIA's in-car data curation strategy to support AI training, simulation, and continuous autonomous vehicle performance improvements.
- Invent and deploy algorithms that mine, classify, and surface valuable driving scenarios from customer vehicles.
- Champion data quality and metadata standards to accelerate development and improve safety and performance.
Requirements
- 10+ years of overall industry experience, including 4+ years in technical leadership.
- Bachelor's degree or equivalent experience.
- Demonstrated success leading data-focused teams in the autonomous vehicle or robotics domain.
- 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 communication, careful planning, and technical leadership capabilities.
Preferred Qualifications
- Hands-on experience with autonomous vehicle scenario mining, drive replay, or simulation feedback loops.
- Ability to drive clarity and alignment across research, engineering, and product leadership.
Compensation and Benefits
- Base salary range: USD 272,000–431,250 per year, determined by location, experience, and the pay of employees in similar positions.
- Eligible for equity and benefits.
- NVIDIA offers a comprehensive benefits package.
- Applications will be accepted at least until August 29, 2026.
- NVIDIA is an equal opportunity employer committed to an inclusive work environment.
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