Autonomous Vehicle AI Systems Manager

NVIDIA; Redmond (WA); On-site; USD 272,000 - 431,000; Full time

Benefits offered by this job

Equity

Comprehensive benefits

Job summary

NVIDIA in Redmond, WA, seeks a seasoned leader to guide data-focused teams across Europe and the United States. You will architect in-car data curation strategies for AI training, simulation, and continuous AV improvement.

Requirements include 10+ years in industry with 4+ years in leadership, a Bachelors or equivalent, and hands-on experience with VLMs/LLMs and multimodal AI in AV contexts. Equity and benefits are offered.

Qualifications

• 10+ years of industry experience including 4+ years in technical leadership.
• Bachelor's degree or equivalent experience.
• Demonstrated success leading data-focused teams in AV or robotics domain.
• Hands-on experience with VLMs, LLMs, or multimodal AI systems applied to perception, data triage, or automated labeling will be effective.
• Prior experience in the autonomous vehicle ecosystem — perception, mapping, robotics, ADAS/AD, or AV data workflows.
• Strong communication, careful planning, and technical leadership capabilities.

Responsibilities

• Lead, encourage, and develop elite engineering and data teams distributed across Europe and the United States.
• Architect and operationalize NVIDIA’s in-car 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 customer cars.
• Champion data quality and metadata standards that accelerate development and improve safety and performance.

Skills

Leadership

Data teams

Communication

Technical leadership

AV/Robotics

Education

Bachelor's degree or equivalent

Tools

VLMs

LLMs

Multimodal AI

Job description

NVIDIA in Redmond, WA, seeks a seasoned leader to guide data-focused teams across Europe and the United States. You will architect in-car data curation strategies for AI training, simulation, and continuous AV improvement.

Requirements include 10+ years in industry with 4+ years in leadership, a Bachelors or equivalent, and hands-on experience with VLMs/LLMs and multimodal AI in AV contexts. Equity and benefits are offered.