Senior QA Automation Engineer – HD Maps

Sustainabletalent

Santa Clara, CA (Nvidia) permanent

Posted: March 3, 2026

Job Description

Sustainable Talent is partnering with NVIDIA, a global leader in accelerated computing and AI, to hire a Senior QA Automation Engineer – HD Maps to support autonomous vehicle (AV) mapping platforms based in Santa Clara, CA.

This is a full-time (W-2) contract role offering competitive pay ($40–$60/hr based on experience), full benefits, PTO, and the opportunity to work on cutting-edge AV technologies.

This role supports validation of HD mapping tools used in autonomous vehicle platforms. You will be responsible for testing UI-based map editing systems that enable map operations teams to create, edit, and validate lane-level geospatial data used in AV systems.

The position combines UI automation, geospatial validation, and release testing in a fast-paced, weekly production environment.

What You’ll Be Doing

• Test HD/SD map editing tools used in autonomous vehicle mapping workflows

• Create and execute test plans and test cases for UI-based geospatial applications

• Perform regression, functional, and workflow testing during weekly release cycles

• Validate lane-level map features, topology, road attributes, and data integrity

• Develop and maintain Python-based UI automation frameworks to increase test efficiency

• Identify, document, and triage defects in collaboration with engineering and map operations teams

• Create release notes and communicate testing outcomes to cross-functional stakeholders

• Partner with engineering, product, and map operations teams to review and prioritize feature enhancements and bug fixes

What We’re Looking For

• Bachelor’s degree in Computer Science or related field (or equivalent experience)

• 5+ years of Software QA experience testing UI-based applications

• 2+ years of experience in mapping, geospatial systems, or related domain

• Experience working in HD Maps, ADAS mapping, autonomous vehicles, robotics, or automotive systems strongly preferred

• Strong proficiency in Python

• Hands-on experience building or maintaining web UI test automation frameworks

• Solid understanding of SDLC and Agile methodologies

• Experience working in fast-paced release environments (weekly or frequent releases)

• Familiarity with geospatial data concepts (lane-level mapping, topology, map attributes, coordinate systems)

• Experience with geospatial data formats (GeoJSON, Shapefiles, OpenDRIVE, etc.) is a plus

• GIS background is a plus

• Strong communication skills and ability to collaborate cross-functionally

• Self-starter who can operate with minimal supervision

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

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