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.