Senior QA Automation Engineer – HD Maps

Sustainable Talent•Santa Clara, CA

2h•$40 - $60

About The Position

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.

Requirements

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
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)
Strong communication skills and ability to collaborate cross-functionally
Self-starter who can operate with minimal supervision

Nice To Haves

Experience working in HD Maps, ADAS mapping, autonomous vehicles, robotics, or automotive systems strongly preferred
Experience with geospatial data formats (GeoJSON, Shapefiles, OpenDRIVE, etc.) is a plus
GIS background is a plus

Responsibilities

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