Jobs / United States / General Motors Company
Senior Fullstack/Frontend Engineer
General Motors Company · 🇺🇸 5 Locations
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 606 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 267 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What General Motors Company paid sponsored hires in similar roles171 certified filings for “Senior Software Engineer” (Software Developers) in MI: $140k–$163k, median $150k. Most were filed at wage level IV (74%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — General Motors Company
The US Department of Labor certified 606 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 267 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for General Motors Company →
About the role
Job Description About Us 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. The Role 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. What You’ll Do (Responsibilities) • Architect and implement performant, scalable, and maintainable frontend systems for AV mapping applications across web and embedded platforms. • Design intuitive, data-rich user interfaces to visualize complex geospatial and mapping data, supporting workflows such as map editing, validation, and release. • Collaborate closely with backend, simulation, localization, and perception teams to define robust data contracts and ensure seamless integration across systems. • Lead the frontend development lifecycle for high-impact projects—defining milestones, aligning stakeholders, and mentoring engineers across functions. • Drive technical excellence in frontend engineering by conducting design reviews, enforcing UI/UX best practices, and setting standards for code quality, testing, and documentation. • Optimize rendering performance and responsiveness for large-scale map data and real-time updates. • Serve as a Subject Matter Expert (SME) in frontend architecture, component design, and visualization frameworks within the Mapping organization and across AV domains. • Contribute to roadmap planning and hiring strategies to grow frontend expertise across the team. Minimum Qualifications (Must-Have) • 5+ years of experience building and maintaining production-grade frontend applications. • Bachelors Degree in Computer Science or related field. Or relevant work experience • Proven experience owning and shipping user-facing products, ideally in high-performance or data-intensive domains. • Strong proficiency in modern JavaScript/TypeScript, React (or similar frameworks), and state management libraries (e.g., Redux, Zustand). • Deep understanding of frontend performance optimization, accessibility, and responsive design. • Experience working with geospatial data, map rendering libraries (e.g., Mapbox GL, Deck.gl, OpenLayers), or data visualization frameworks (e.g., D3.js). • Familiarity with RESTful APIs, WebSockets, and GraphQL. • BS, MS in Computer Science, Human-Computer Interaction, or a related technical field, or equivalent industry experience. • Demonstrated success in leading frontend initiatives, mentoring engineers, and working with cross-functional stakeholders. Preferred Qualifications (Nice-to-Have) • 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 label