Senior Map Data Validation Lead - Autonomous Vehicles

NVIDIA AI

Santa Clara (CA)

On-site

USD 184,000 - 288,000

Full time

9 days ago

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Job summary

NVIDIA in Santa Clara is seeking an accomplished map data validation lead to validate HD/SD map data for autonomous driving. The role requires deep domain knowledge of map data structures and validation strategies and the ability to collaborate with cross-functional teams.

The ideal candidate will develop validation strategy, identify process gaps, and perform both manual and automated validations daily while training map release operators for ongoing operations.

Qualifications

  • 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 map data validation.
  • GIS background a phenomenal plus.
  • Ability to work autonomously with minimal direction.
  • Phenomenal team player with excellent interpersonal skills.

Responsibilities

  • 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

Skills

QA/validation
Map data validation
Autonomous work
Team collaboration
GIS background

Education

Bachelor's degree in CS/related field

Job description

Job Category Engineering

Time Type Full time

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

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 August 4, 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.

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