Six Figure Work

Senior Automotive Sensor Ecosystem Manager

NVIDIA

Company websitenvidia.com (NVIDIA, opens in new tab)

Base salary $168,000  to $327,750

Employer-published annual base salary, USD. Advertised base range in Santa Clara, CA

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  • LocationSanta Clara, CA
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (51 min ago) · observed since

About this job

NVIDIA is harnessing AI to shape the next era of computing, with GPUs powering intelligent devices, robots, and autonomous vehicles. Our breakthroughs are driven by hardworking people and a culture grounded in innovation, excellence, determination, and teamwork. Join us to build technology with a lasting impact. NVIDIA’s autonomous driving team is building a sensor ecosystem for production-ready, next-generation vehicle platforms. We are looking for a Senior Sensor Ecosystem Manager to develop partnerships with suppliers of autonomous vehicle sensors and systems and bring qualified technologies into our automotive ecosystem.


This is an individual contributor role. You will work across engineering, business, and supplier teams to guide engagements from evaluation through qualification, acquisition, and ongoing support.


What you’ll be doing:

  • Develop supplier relationships and roadmaps. Serve as a primary contact for sensor partners, review their capabilities and plans, and track product maturity, timing, risks, and alignment with NVIDIA’s platform needs.
  • Drive sensor qualification. Define criteria with engineering teams, coordinate evaluations of performance and integration readiness, and recommend which technologies should advance.
  • Coordinate supplier agreements and operations. Work with legal, sourcing, finance, purchasing, and operations on NDAs, evaluation agreements, procurement requests, and supplier documentation.
  • Lead RFIs and supplier selection. Define requirements, compare suppliers across technical capability, readiness, support, and strategic fit, and present recommendations to collaborators.
  • Manage sensor acquisition and allocation. Consolidate demand across teams, maintain acquisition forecasts, and track orders, deliveries, and inventory. Prioritize available units for requestors based on program needs and timing.
  • Resolve supplier issues. Coordinate responses to quality, performance, support, and delivery concerns, advancing and tracking actions through closure.
  • Keep collaborators aligned. Work across engineering, program, supply chain, and business teams, and provide clear updates on supplier health, qualification, forecasts, inventory, and risks.

What we need to see:

  • Bachelor’s or Master’s degree in engineering, robotics, physics, business or a related technical field, or equivalent experience.
  • 10+ years of experience in automotive sensors, ADAS/AV systems, supplier engagement, ecosystem development, or technical program leadership.
  • Experience working with suppliers on roadmaps, qualification, selection, issue resolution, and escalations.
  • Knowledge of autonomous vehicle sensors and systems, with the ability to assess technologies at a system and ecosystem level.
  • Experience coordinating procurement, forecasts, deliveries, inventory, and hardware allocation across multiple teams.
  • Strong analytical and communication skills, including the ability to influence decisions without direct authority.

Ways to stand out from the crowd:

  • Experience building an automotive sensor ecosystem, partner program, or reference-platform supplier network.
  • Background working with Tier 1 suppliers, sensor manufacturers, or strategic partners in ADAS/AV.
  • Experience balancing technical evaluation with cost, supply continuity, contract readiness, and partner support.
  • A record of resolving supplier performance issues after onboarding or procurement.

#AutonomousVehicles

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
168,000 USD – 258,750 USD for Level 4; and 208,000 USD – 327,750 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Source: NVIDIA on Workday · View original posting (opens in new tab)

This range next to 6 other live NVIDIA roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live NVIDIA roles with the nearest advertised base floor
RolePublished base
Senior Automotive Sensor Ecosystem Manager (this listing)$168,000 - $327,750
L11 System Product Development Engineer$168,000 - $258,750
Senior Software Engineer, Network Visibility Platform - DGX Cloud$168K - $322K
Hardware Validation Procedures and Documentation Lead$168,000 - $258,750
Senior Software Engineer, Platform Engineering$168K - $322K
PhD Research Scientist, Fundamental Generative AI - New College Grad 2026$168,000 - $264,500
AI Engineering Manager - Finance$168K - $322K

Same $100K to $400K scale as every card. All NVIDIA roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-10-30
Where this pay comes from

Location as the employer wrote it: US, CA, Santa Clara (Levels 4-5 combined)

168,000 USD – 258,750 USD for Level 4; and 208,000 USD – 327,750 USD for Level 5.

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.