Senior Manager, Engineering - Autonomous Vehicles

NVIDIA
Santa Clara, Redmond
Workplace: OnsiteFull timeUSD 272,000 - 431,250 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 10+ yearsEducation: bachelorsSkills: ["Communication","Technical leadership","Planning","Alignment"]

Lead distributed engineering and data teams to advance autonomous driving through data-driven systems and algorithms. Own and operationalize an in-car curation strategy that powers AI training, simulation, and continuous performance improvements. Develop and deploy algorithms to mine, classify, and surface high-value driving scenarios from customer fleets, while driving data quality and metadata standards to accelerate development and improve safety.

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FursaFursa
NVIDIA
NVIDIA
6 days ago

Senior Manager, Engineering - Autonomous Vehicles

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Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Lead distributed engineering and data teams to advance autonomous driving through data-driven systems and algorithms. Own and operationalize an in-car curation strategy that powers AI training, simulation, and continuous performance improvements. Develop and deploy algorithms to mine, classify, and surface high-value driving scenarios from customer fleets, while driving data quality and metadata standards to accelerate development and improve safety.
Location: Santa Clara, Redmond
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Manager level

Key Responsibilities

  • •Lead, encourage, and develop elite engineering and data teams distributed across Europe and the United States.
  • •Architect and operationalize an in-car curation strategy that powers AI training, simulation, and continuous AV performance improvements.
  • •Invent and deploy new algorithms to mine, classify, and surface valuable driving scenarios from customer cars.
  • •Champion data quality and metadata standards that accelerate development and improve safety and performance.

Pay and Benefits

Salary: USD 272,000 - 431,250 annually
Equity and Bonus:Equity

Key Requirements

  • •10+ years of overall industry experience including 4+ years in technical leadership.
  • •Bachelors 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 for perception, data triage, or automated labeling.
  • •Prior experience in the autonomous vehicle ecosystem (perception, mapping, robotics, ADAS/AD, or AV data workflows).
Experience:10+ yearsAutonomous vehiclesAVRoboticsData scienceMultimodal AI
Education:Bachelor's
Skills:CommunicationTechnical leadershipPlanningAlignment
Tech Stack:VLMsLLMsMultimodal AIAI trainingSimulation

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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