Jobs / United States / General Motors Company
Staff / Principal Software Engineer, In-Vehicle AI Experiences
General Motors Company · 🇺🇸 Mountain View, California, United States of America
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 roles1 certified filing for “AI/ML Engineer” (Software Developers) in MA: $187k–$187k, median $187k. Most were filed at wage level II (100%) — 2 lottery entries, ≈31% 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 Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to Mountain View, CA three times per week at minimum or other frequency dictated by the business. The Role GM’s Vehicle AI Experiences team is building the next generation of intelligent experiences for GM vehicles. Our mandate is simple: own what the driver can do and how it feels. We are seeking hands-on Staff and Principal Software Engineers who can turn ambiguous customer problems into high-quality, production-ready experiences. You will work primarily in Kotlin and Android Automotive, while owning features across the broader in-vehicle assistant stack—including conversation design, natural language understanding, LLM behavior, vehicle integration, connected services, and UI. The center of gravity for this role is product engineering rather than AI research or agent-platform specialization. We value broad engineering judgment, rapid learning, and a record of shipping complete products more than expertise in any particular AI framework. This is a small, fast-moving team. You will have substantial autonomy, remain close to the code, help determine what we build, and improve how the larger organization delivers software. What You’ll Do • Define and build driver-facing capabilities from concept through production. • Own features end to end—from the driver’s request and conversational behavior through on-device fulfillment, vehicle integration, UI, validation, and iteration. • Write production Kotlin and contribute across adjacent technologies such as Python-based agent definitions, NLU, LLM orchestration, APIs, and connected services. • Rapidly prototype new experiences, evaluate them in realistic vehicle environments, and turn successful ideas into reliable products. • Partner with Product, UX, conversation design, vehicle software, systems, platform, safety, privacy, and validation teams. • Make pragmatic tradeoffs among customer value, speed, reliability, latency, offline behavior, resource constraints, maintainability, and driver distraction. • Diagnose complex issues across application, assistant, vehicle, and cloud boundaries. • Use AI-assisted development workflows to accelerate design, implementation, testing, debugging, and codebase understanding while maintaining a high quality bar. • Establish reusable engineering patterns and lightweight workflows that help the team deliver faster. • Mentor engineers through implementation, design reviews, code reviews, and direct technical collaboration. • Help shape the roadmap for in-vehicle AI experiences and identify opportunities that emerging technology makes possible. Your Skills & Abilities (Required Qualifications) • Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience. • Significant experience building and shipping production software: • Staff: Minimum 8+ years. • Principal: Minimum 10+ years. • Strong hands-on software development skills in Kotlin, Java, C++, Python, or a comparable language, with the ability and interest to work primarily in Kotlin and Android. • A record of independently delivering complex, user-facing features across multiple components or systems. • Ability to turn ambiguous customer or business goals into concrete designs, incremental plans, and working software. • Strong system-design, debugging, testing, and operational-quality judgment. • Experience leading technical work across organizational or functional boundaries. • Clear communication with engineers, designers, product partners, and technical leadership. • Demonstrated ability to learn unfamiliar technologies quickly and apply them pragmatically. • Experience using modern AI-assist