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General Motors is seeking a Fullstack Engineer with a strong frontend focus to join the Mapping Engineering team. You will build web tools to visualize geospatial mapping data and support QA, debugging, and release workflows for autonomous driving.
Collaborate with backend, ML, localization, and perception teams to deliver scalable interfaces. The role emphasizes performance, accessibility, and data‑driven UI design, with hybrid work and opportunities to contribute to roadmap and hiring
We’re on a mission to build the world’s most advanced self-driving vehicles to safely connect people to the places, things, and experiences they care about. At GM’s Autonomous Vehicle (AV) organization, we’re combining cutting‑edge research, robust engineering, and large‑scale systems to make this future a reality. Our team is developing national‑scale, next‑generation mapping systems from the ground up—combining robust backend infrastructure with intuitive, performant user interfaces.
We’re looking for a Fullstack Engineer with deep expertise in Frontend technology to join our Mapping Engineering team. You’ll be responsible for building web‑based tools and interfaces that empower engineers, operators, and stakeholders to interact with our distributed mapping systems. From visualizing map data and pipeline health to enabling map QA and debugging workflows, your work will directly impact the safety and scalability of autonomous driving. You’ll collaborate closely with product managers, backend engineers, machine‑learning engineers, domain experts across Localization, Perception, and Simulation to deliver high‑quality, user‑centric tools that support the full map lifecycle.
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This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week or other frequency dictated by their manager. The selected candidate will be required to travel <25% for this role. This job may be eligible for relocation benefits.
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