Senior Geospatial Data QA Engineer

Location: Santa Clara, CA

Department: Tech & Engineering

Location: Santa Clara, CA- Hybrid

W-2 Contract

Pay Range: $40–$75/hr (based on experience, education, and location)

Sustainable Talent is partnering with NVIDIA, a global leader in accelerated computing and advanced mapping technologies, to hire a Senior Map Data Validation Engineer to support large-scale mapping data quality initiatives.

This role focuses on validating HD and SD map datasets at the data level, ensuring the accuracy, completeness, and consistency of geospatial map attributes within automated validation frameworks. The position is not focused on UI testing or manual map review, but rather on map data quality validation and investigation of automated validation results across large mapping datasets.

What You’ll Be Doing

• Run automated validation checks on HD and SD map datasets and analyze validation results

• Investigate and resolve map data quality issues, including missing or incorrect attributes

• Validate geospatial map attributes such as road geometry, lane-level data, elevation (Z-levels), routing attributes, and topology

• Identify inconsistencies in large-scale mapping datasets and perform root cause analysis on validation failures

• Develop and implement map data validation rules and quality standards

• Produce data validation reports and communicate findings to engineering teams

• Train and support mapping operators and data production teams on interpreting validation results

• Collaborate with engineering teams to improve automated map data validation frameworks

What We Need to See

• 3+ years of hands-on experience in map data validation or geospatial data quality engineering

• Experience validating HD or SD map datasets used in navigation, mapping platforms, or geospatial systems

• Strong understanding of map data attributes, spatial data quality, and geospatial validation methodologies

• Experience investigating automated map validation failures and performing root cause analysis

• Familiarity with GIS tools such as QGIS or ArcGIS

• Strong analytical skills with the ability to identify and resolve spatial data inconsistencies

• Excellent communication skills and ability to collaborate with engineering and mapping teams

Nice to Have

• Experience with HD mapping platforms or navigation systems

• Experience working with mapping companies (e.g., HERE, TomTom, Apple Maps, Google Maps, Mapbox)

• Experience working with geospatial databases or scripting languages (SQL, Python)

• Experience supporting production mapping pipelines or map release validation

Ideal Candidate Backgrounds

Candidates often come from:

• HD mapping companies

• Navigation / mapping platforms

• Geospatial data engineering teams

• GIS data quality engineering roles

• Autonomous vehicle mapping teams

Sustainable Talent is a M/F+, disabled, and veteran equal employment opportunity and affirmative action employer.