Senior Manager, Engineering, Autonomous Vehicles

Nvidia

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Santa Clara, CARedmond, WA
Salary: $272,000–$431,250 / yr
Employment: Full-time
Posted: 18 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $219k

This role $352k

$144k most similar roles pay here $462k

This role pays more than 98% of similar roles. Most pay $174,887–$264,000 — the shaded band above. At the midpoint, this role pays about $352k versus about $219k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1150 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 912 roles with salary data.

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At a glance

TL;DR · Senior Manager, Engineering, Autonomous Vehicles

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As the Senior Manager, Engineering - Autonomous Vehicles, you will lead and develop elite engineering and data teams distributed across Europe and the United States. You will architect and operationalize an in-car curation strategy to power AI training, simulation, and continuous autonomous vehicle performance improvements. Your daily responsibilities include inventing and deploying new algorithms to mine, classify, and surface valuable driving scenarios from petascale consumer fleets while championing data quality and metadata standards. The role requires expertise in the autonomous vehicle ecosystem, including perception, mapping, robotics, or ADAS/AD workflows. You will utilize skills related to VLMs, LLMs, or multimodal AI systems for perception, data triage, and automated labeling. This position focuses on solving the critical challenge of extracting intelligence from massive datasets to ensure safe, scalable autonomy for next-generation robots on wheels.

What does a Engineering Manager earn in California?

Median $290250 from 57 postings across 16 companies.

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Skills

LLMs VLMs Multimodal AI AutonomousVehicles Robotics Simulation ADAS Metadata Standards AI Training Scenario Mining Data Triage

What you'll do

Lead and develop elite engineering and data teams across Europe and the United States.
Architect and operationalize in-car curation strategies to power AI training and simulation.
Develop algorithms to mine, classify, and surface valuable driving scenarios from customer fleets.
Establish data quality and metadata standards to improve safety and performance.
Manage systems that extract intelligence from petascale consumer vehicle data.
Drive alignment between research, engineering, and product leadership teams.

What we're looking for

Overall industry experience.
4+ years of experience in technical leadership.
Bachelor's degree or equivalent experience.
Demonstrated success leading data-focused teams in the AV or robotics domain.
Experience with VLMs, LLMs, or multimodal AI systems for perception, data triage, or automated labeling (preferred).
Prior experience in the autonomous vehicle ecosystem including perception, mapping, robotics, ADAS/AD, or AV data workflows.
Strong communication, careful planning, and technical leadership capabilities.
Experience with AV scenario mining, drive replay, or simulation feedback loops (preferred).

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