HD Map Data Validation Lead - Equity & Impact in Autonomy

NVIDIA AI

Santa Clara (CA)

On-site

USD 184,000 - 288,000

Full time

11 days ago

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Benefits offered by this job

Equity
Benefits

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

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.

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