Back to jobs

Senior Map Data Validation Lead - Autonomous Vehicles

US, CA, Santa Clara

Pay
Multiple pay amounts — pay source
#AutonomousVehicles Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 253,000 USD for Level 4, and 184,000 USD - 287,500 USD for Level 5. You will also be eligible for equity and benefits.
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting
Apply at Nvidia

What you’ll work on

Full posting
  • Develop the overall map data validation strategy with cross-functional teams

  • Find gaps in the current validation process and put improvements in place

  • Run manual and automatic map data validation daily

  • Train and support map release operators

From the employer’s posting
Develop overarching map data validation strategy by collaborating with cross-functional teams
Identify gaps in the existing map data validation process and implement improvement measures across map release team
Perform manual and automatic map data validation on a daily basis
Train/support map release operators

What you’ll bring

All qualifications

Core experience

  • Extensive knowledge of map data validation standards and methodologies
  • Bachelor's degree in computer science or related field, or equivalent experience
  • Able to work autonomously with minimal direction

Preferred experience

  • GIS background
  • Extensive knowledge of HD map data verification protocols and techniques
Qualification wording
Extensive knowledge of map data validation standards and methodologies
Bachelor’s degree in computer science or related field or equivalent experience
A motivated individual capable of working autonomously with minimal direction
GIS background a phenomenal plus
Extensive knowledge of HD map data verification protocols and techniques
Education & alternatives
What we need to see: - Bachelor’s degree in computer science or related field or equivalent experience - Extensive knowledge of map data validation standards and methodologies

Posting record

Report an error
Status in our records
Live
First seen by us
Aug 11, 2026 · 71 days ago
Recorded sightings
148
Last seen by us
Oct 21, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

Your next step

  • Have your resume and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.

Complete your application on nvidia.wd5.myworkdayjobs.com. The employer’s form will show what is required.

Already applied? Track this application

Job description

View original posting ↗

NVIDIA is widely acknowledged as one of the most sought-after companies in the technology sector. It owns the industry with groundbreaking developments in High-Performance Computing, Artificial Intelligence, and Visualization. Our work opens up new universes to explore, enables outstanding creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars.


We are looking for an accomplished map data validation lead to perform the validation of HD/SD map data, a vital component in autonomous driving, within our map release team. An ideal candidate should demonstrate extensive prior experience in the mapping field. They should possess deep domain knowledge of map data structure and validation strategy. They must also show outstanding ability to work with cross-functional teams.


What you’ll be doing:

  • Develop overarching map data validation strategy by collaborating with cross-functional teams
  • Identify gaps in the existing map data validation process and implement improvement measures across map release team
  • Perform manual and automatic map data validation on a daily basis
  • Train/support map release operators

What we need to see:

  • Bachelor’s degree in computer science or related field or equivalent experience
  • Extensive knowledge of map data validation standards and methodologies
  • At least 6+ years of dedicated QA or operation experience in the area of map data validation
  • GIS background a phenomenal plus
  • A motivated individual capable of working autonomously with minimal direction
  • Phenomenal team player with excellent interpersonal skills

Ways to stand out from the crowd:

  • Extensive knowledge of HD map data verification protocols and techniques
  • A self-starter that requires minimal direction

#AutonomousVehicles

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 253,000 USD for Level 4, and 184,000 USD - 287,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 2, 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 details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay
#AutonomousVehicles Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 253,000 USD for Level 4, and 184,000 USD - 287,500 USD for Level 5. You will also be eligible for equity and benefits.
Location & working pattern

US, CA, Santa Clara

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.