Jobs / United States / General Motors Company
Staff Software Engineer, AI-Accelerated Digital Commerce
General Motors Company · 🇺🇸 3 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 hybrid. This means the successful candidate is expected to report to Austin, TX, Warren, MI, Sunnyvale, CA, or Mountainview, CA, three times per week, at minimum. About the team Our team builds the digital commerce experiences that support how customers discover, buy, subscribe to, and manage GM products and services. We work across qualification, catalog, cart, checkout, billing, payments, subscriptions, orders, and customer account journeys, partnering closely with product, design, architecture, and operations teams to deliver reliable, scalable experiences. We are looking for engineers who pair strong software fundamentals with practical AI-assisted development habits to move faster, raise quality, and help the broader team work better. The role We are hiring a Staff Software Engineer with demonstrated ability to use AI as a force multiplier for software development in digital commerce environments. This role is ideal for a highly technical engineering leader who can use AI-assisted workflows to improve delivery speed and quality, shape reliable low-latency services and architectures, and raise team productivity through stronger engineering practices, reusable patterns, and technical leadership. What you'll do • Lead the design and evolution of customer-facing digital commerce systems across areas such as qualification, checkout, billing, payments, subscriptions, catalog, cart, orders, and customer account journeys • Use AI-assisted workflows to accelerate implementation, code review, testing, debugging, and documentation, while setting the standard for safe and effective adoption • Evaluate AI output for correctness, security, maintainability, and production readiness, and help teams apply strong judgment in where AI adds value • Drive architecture and API decisions across modern web applications and services built with technologies such as React, Next.js, Node.js, Java, and related frameworks • Improve engineering excellence through stronger design reviews, testing strategy, automation, observability, and DevOps practices • Build reusable workflows, patterns, and guidance that improve productivity across engineers and teams • Partner across product, design, architecture, platform, and operations to align technical direction with business priorities • Coach engineers and influence technical execution beyond direct code contributions Your Skills & Abilities (Required Qualifications) • At least 8-10 years of strong coding, debugging, and code review skills with the credibility to lead through technical depth • 7+ years API and system design capability with sound tradeoff judgment • Practical use of AI across coding, testing, debugging, documentation, and understanding existing codebases, APIs, architecture, and technical documentation • Ability to use AI with structured engineering practices such as specs, reviews, tests, and observability • Hands-on experience across relevant technologies such as React, Next.js, Node.js, Java, and modern web application architecture • Strong engineering excellence in test automation, operational automation, and DevOps practices • Ability to balance performance, reliability, maintainability, and cost while improving team delivery What Will Give You A Competitive Edge (Preferred Qualifications) • Experience in digital commerce or other customer-facing digital platforms • Experience in areas such as qualification, checkout, billing, payments, subscriptions, orders, catalog, cart, or customer account flows • Exposure to commerce platforms or vendors such as Shopify or similar ecosystems • Exposure to technologies or patterns such as Model Context Protocol (MCP), LangChain, retrieval-augmented generation (RAG) pat