Jobs / United States / General Motors Company
Staff AI/ML Engineer, Developer Productivity
General Motors Company · 🇺🇸 4 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 roles2 certified filings for “Senior ML Engineer - Embodied AI Offboard Percepti” (Data Scientists) in CA: $230k–$240k, median $235k. Most were filed at wage level III (100%) — 3 lottery entries, ≈46% 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 The AI Cloud and Developer Productivity organization is responsible for delivering and maintaining the tools and services engineers here at GM use every day to do their best work and drive our cars forward. Tools and services we work on enhancing the entire development process of engineers at GM — how/where code is checked out, modified , compiled, tested, merged, and eventually deployed. Our goal is to ensure our AV engineers and others here have world class tools and a seamless development experience so that they can focus on the problems that matter most in their domain. The Role We are looking for a Staff Engineer with an extensive engineering background, experience using a variety of developer tools and technologies, and who is passionate about developer productivity. As a leader on this team, we are looking for someone who cares deeply about the technical development of other engineers on the team and can effectively balance the needs and priorities of the business, our users, and the growth of our engineers. The way this engineer will deliver impact may vary depending on the situation, but they will be expected to be able to identify how they can best have impact with minimal guidance. The Team The AV Developer Tools team owns AI-native tools and services that enable others to deploy consistent and secure agentic workflows with visibility into their usage , both hosted and on-device . We are part of the AI Cloud and Developer Productivity organization and own building blocks that allow customers to easily instrument their products to debug, optimize , reach, and maintain production level reliability and availability . This includes setting best practices and providing opinionated drop-in libraries and recommendations for service instrumentation . Our goal is to accelerate AV development by supporting developer workflows for performance and observability into their systems. What You’ll Do (Responsibilities) • Identify engineering pain points and propose/design/implement solutions that are reliable, scalable, and maintainable • Influence the team’s technical roadmap • Evaluate new tools and technologies through PoCs • Ship improvements to our AV development toolchains and services which have a measurable and direct impact on engineering productivity and our core company metrics • Drive software engineering best practices within your team, and create tooling which encourages these • Help steer the engineering culture on the team • Guide the team to find the right balance between delivering impact and addressing technical debt • Mentor and grow engineers on the team • Set the example for high levels of accountability • Execute and deliver impact both individually and through the team • Set strong boundaries when selecting external requests and pushing back on requests that do not align with our team vision Minimum Qualifications (Must-Have) • 5 + years of experience designing, building and operating production systems at scale in the cloud • Bachelors Degree in Computer Science or related field or equivalent work experience • Experience designing highly scalable, reliable, and maintainable services • Experience writing in Go, Python, or other languages at production scale • Understanding of Unix/Linux, SSH, and networking fundamentals • Attention to detail, and a desire to improve processes and systems around you • Ability to lead and influence others, both internal and external to the team • Ability to research, document, communicate, and defend proposals, and provide and take critical feedback