Jobs / United States / General Motors Company
Staff Software Engineer– AI Enablement
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 The Team: The CoSim Infrastructure, Quality, and Scalability team, within GM’s Virtualization and SIL Integration organization, builds the foundational software, automation, and integration capabilities that make virtual ECUs and co-simulation environments reliable, reusable, and scalable across vehicle domains. The team develops and evolves CoSim/SIL infrastructure—including SoftECU and FMI-based capabilities, RestBus and SIMETH connectivity, HWIO and calibration enablement, build and CI/CD pipelines, and automated quality gates—while improving package consistency, test coverage, observability, and defect triage. Their work enables engineering, calibration, and verification teams to validate embedded-platform software earlier and with greater confidence, supporting daily regression testing as well as complex, multi-variant, multi-domain virtual validation. Within the broader Virtualization and SIL Integration organization, the team collaborates closely with domain teams to deliver high-fidelity virtual environments and advance GM’s software-defined vehicle development process. The Role: As a Staff Software Engineer , you will define the architecture for GM’s next‑generation virtual development platform, including SIL orchestration, AI‑enhanced simulation, data flows, and cloud‑native compute. You’ll build on your strengths in automation, embedded systems, and debugging while expanding into cloud orchestration, IaC, ML workflows, and distributed simulation systems. What You’ll Do (Responsibilities): • Architect distributed simulation systems for vECUs, FMUs, and SIL/MIL workloads, ensuring scalable execution across heterogeneous environments. • Define AI ‑ enabled simulation patterns including scenario generation, model‑based inference, and data pipelines. • Design cloud ‑ native compute platforms optimized for large‑scale parallel, and elastically scalable simulation workloads. • Establish API and service architecture for orchestration and data management. • Guide CI/CD integration for simulation and AI components. • Mentor developers and influence technical direction across teams. • Ensure security, observability, and reliability across the platform. Your Skills & Abilities (Required Qualifications): • Bachelor’s degree (or higher) in Engineering, Computer Science, or related field. • 10+ years of relevant experience in software architecture, simulation, or distributed systems. • Expertise in backend and distributed systems. • Experience with virtualization and simulation (vECUs, FMUs, SIL). • Strong cloud architecture skills. • Experience with CLI-based architecture and MCP-based architecture for AI tools design. • Experience with ontology-based system design and architecture. • AI/ML integration experience for simulation or data workflows. • Knowledge of data engineering and storage patterns. • Experience with Kubernetes and container orchestration. What Will Give You a Competitive Edge (Preferred Qualifications): • Experience designing simulation platforms at enterprise scale. • Knowledge of automotive domain modeling and ontology. • Experience with event ‑ driven architectures for simulation workflows. • Experience with Agentic AI architecture and multi-agent coordination. • Advanced knowledge of ontology technologies and ontology design patterns (Owl, RDF, SPARQL, Automated reasoning) • Advanced ML workflow experience (feature stores, model serving, vector DBs). Company Vehicle Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, though which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to pu