Jobs / United States / General Motors Company
Principal Software Engineer - Vehicle AI
General Motors Company · 🇺🇸 2 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 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 Remote/ hybrid . This means the successful candidate is expected to report to Austin, TX , Mountain View, CA or Remote (Washington State) three times per week at minimum or other frequency dictated by the business. The Role General Motors is building the future of intelligent in-cabin experiences, and we are looking for a Principal Software Engineer to serve as a technical leader and authority for our next-generation In-Vehicle AI Assistant platform. Focused on cabin intelligence, voice interaction, and conversational AI, this role bridges the entire edge-to-cloud spectrum—spanning the Android Automotive OS (AAOS) client application layer, cloud AI orchestration pipelines, and backend service integration. In this high-impact role based out of our Mountain View, CA or Seattle, WA offices, you will shape the multi-year technical vision for our in-cabin assistant platform. You will work extensively across cross-functional boundaries—aligning Cloud AI/ML, In-Cabin UX, Vehicle Platform, Security, and Infrastructure teams to build a cohesive, scalable ecosystem. If you excel at driving technical strategy across complex distributed systems and bringing clarity to large-scale engineering initiatives, this role offers an unmatched opportunity to define the assistant experience for millions of vehicles worldwide. What You’ll Do • Define and own the end-to-end architecture for GM’s In-Vehicle AI Assistant platform across both the Android client application layer and cloud backend integration services. • Drive cross-functional technical strategy, collaborating with Cloud AI/ML, In-Cabin UX, Product Management, Security, and Data Engineering teams to align system boundaries and interface contracts. • Architect the hybrid edge-cloud orchestration layer, optimizing trade-offs between on-device latency, network bandwidth, cloud compute cost, and offline reliability. • Establish engineering standards and API protocols for high-performance, real-time client-server communication using gRPC and streaming audio/text interfaces. • Evaluate and integrate emerging Artificial Intelligence / Machine Learning (AI/ML) agent frameworks, large language model orchestrators, and tool execution engines into the in-cabin assistant ecosystem. • Unblock critical architectural dependencies across multiple engineering pods, resolving complex trade-offs in system reliability, privacy, and data streaming. • Drive platform-wide testing, evaluation pipelines, and telemetry standards to measure end-to-end voice latency, response accuracy, and system health. • Mentor and grow Staff and Senior engineers across client and backend disciplines, fostering a culture of technical rigor and architectural excellence. Your Skills & Abilities (Required Qualifications) • Bachelor’s degree in Computer Science, Computer Engineering, or equivalent practical experience. • 12+ years of professional software development experience, with a proven track record of designing large-scale distributed systems spanning client applications and cloud microservices. • Broad technical depth across client-side Android architecture (Kotlin/Java) and backend cloud integration (microservices, REST, gRPC, streaming APIs). • Demonstrated history of cross-functional (XFN) technical leadership, driving architectural alignment and consensus across multiple engineering organizations. • Deep expertise in client-server interaction patterns, state synchronization, and low-latency network communication protocols. • Proven ability to define multi-year technical roadmaps and translate high-level product vision into concrete, scalable platform architectures. What Can Give You a Competitive Advantage (Preferred Qualifications) • Master’s or