
location_on622, Villa Street, Mountain View, Santa Clara County, California, 94041, United States
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 are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Our diverse team brings collective passion for engineering, technology, and design to deliver on our vision of a world with Zero Crashes, Zero Emissions, and Zero Congestion.
You will join the Mapping Engineering team as a Fullstack Engineer with deep expertise in Frontend technology. Your work will focus on 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 contributions will directly impact the safety and scalability of autonomous driving. You will collaborate closely with product managers, backend engineers, machine-learning engineers, and domain experts across Localization, Perception, and Simulation to deliver high-quality, user-centric tools that support the full map lifecycle.
Our vision is a world with Zero Crashes, Zero Emissions, and Zero Congestion, and we embrace the responsibility to lead the change that will make our world better, safer, and more equitable for all. We believe we all must make a choice every day—individually and collectively—to drive meaningful change through our words, our deeds, and our culture. Every day, we want every employee to feel they belong to one General Motors team.
We are committed to being a workplace that is not only free of unlawful discrimination but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
To learn more about our hiring process, visit How we Hire.
If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment.
Accommodations: General Motors offers opportunities to all job seekers, including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com or call 1-800-865-7580. Please include a description of the specific accommodation you are requesting, as well as the job title and requisition number of the position.
General Motors is committed to being an Equal Employment Opportunity Employer. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state, and local laws.
Work model: Hybrid
622, Villa Street, Mountain View, Santa Clara County, California, 94041, United States
Mountain View, California
7+ years of experience building and maintaining production-grade frontend applications. Experience with AV mapping systems, HD map data pipelines, or automated cartographic error detection. Knowledge of computer vision or machine learning workflows related to map labeling or perception. Deep experience with Node.js internals and performance tuning. Experience designing performant geospatial services, coordinate systems, and transforms.
Skills: Javascript, Typescript, React, Redux, Zustand, Mapbox GL, Deck.gl, Openlayers, D3.JS, Restful Apis.
Education: Bachelor's Degree in Computer Science or related field, or relevant work experience; BS in Computer Science, Human-Computer Interaction, or related technical field, or equivalent industry experience.