Jobs / United States / General Motors Company
ML / AI Software Engineer - C++ Metrics Frameworks
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 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. The pay stated here ($129,000) is below what this employer usually pays sponsored hires for this role. 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).
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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 Role: As a n AI/ML Engineer on the Metrics Frameworks team, part of the Sim ulation, Evaluation, and Data organization, you will be an individual contributor focused on developing and optimizing infrastructure to accelerate autonomous vehicle development, testing, and deployment by creating specialized ana lytics frameworks and tools. We are seeking experienced software engineers to build ana lytical frameworks and tools that empower internal users to construct quantitative ana lysis pipelines and develop metrics. These metrics will support and accelerate feature design, prioritization, and development, as well as evaluate the impact of recently released features. Our ana lytics framework equally supports road event monitoring, data mining and training, and sim ulation metrics. About the Organization: The Simulation, Evaluation, and Data organization is dedicated to advancing the development of autonomous vehicles through cutting-edge simulation technologies. The Metrics Frameworks team within this organization focuses on creating, maintaining , and evolving the analytics framework that supports GM's goal of safe, high-performing, and scalable driverless technology. The team delivers robust and scalable tools that facilitate data-driven decision-making throughout the AV feature development lifecycle. We collaborate closely with Simulation Evaluation, Embodied AI, and System and Test Engineering teams to enhance productivity across the organization by developing automation tools and shared libraries for all engineering teams. We are accountable for the performance, reliability, and scalability OKRs of the analytics framework. This includes, but is not limited to, developing customized analytics workflows, improving operational telemetry and dashboards to track relevant KPIs for prioritization, and identifying, designing, and implementing solutions to achieve key results. #GM-AV-1 What You’ll Do: • Create tooling that can receive signals from various sources ( Sim ulation, Road, etc ) and allow users to easily build quantitative ana lysis pipelines to extract usable insights. • Accelerate team’s effectiveness and efficiency by designing and implementing scalable automation tools for test creation, data collection and ana lysis, debugging, and performance monitoring. • Design and implement extensible and well-tested shared libraries that will be used by many engineers across the organization. • Collaborate with other frameworks and data i nfra teams to build and deploy tools to improve productivity. • Work closely with autonomous vehicle engineering to enable rapid development and model feedback. • Maintain a high technical standard for code quality on the team, through architectural design and code reviews. Your Skills & Abilities: • Experience developing scalable software solutions that will be used by many developers • Experience writing Python and C++ in a production environment (unit testing, code review, algorithm performance and tradeoffs, etc.) • Experience developing automation scripts (Python and Bash scripts) • BS in Computer Science, Electrical Engineering, Mechanical Engineering, or Aerospace Engineering • 5+ years of industry experience • Strong organizational and communication skills What Will Give You A Competitive Edge: • Experience with SQL and related tools/tech (Big Query, DuckDB , etc ) • Experience with time-series data ana lysis and online performance monitoring tools • Experience building high performance framework / infrastructure and performance optimization in C++/Python • Familiarity with ROS, Pandas, Python bindings for C++, and plotting/visualization libraries • Familiarity with Data orchestration and transformation tools l