Jobs / United States / General Motors Company
Senior Software Developer– AI Enablement
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 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 Senior Software Developer , you will build the software that powers GM’s virtual development environments, SIL workflows, and AI ‑ enhanced simulation capabilities. You bring strengths in automation, embedded systems, and problem ‑ solving — and this role expands your exposure to cloud, data, ML fundamentals, and large ‑ scale simulation architecture. What You’ll Do ( Responsibilities ): • Develop backend services supporting virtual ECUs, simulation orchestration, and model execution. • Build tools for SIL workflows including scenario execution, data capture, and automation. • Integrate AI/ML components into simulation or validation pipelines. • Design APIs for simulation control, artifact management, and orchestration. • Optimize performance for compute ‑ intensive workloads. • Collaborate with DevOps and simulation teams to ensure seamless integration. • Contribute to CI/CD workflows for simulation and AI components. Your Skills & Abilities (Required Qualifications): • Bachelor’s degree (or higher) in Engineering, Computer Science, or related field. • 7+ years of relevant experience in software development, simulation, or embedded systems. • Strong programming skills in Python, C++, C#, or Java. • Experience with simulation or virtualization ( vECUs, FMUs, SIL). • Understanding of cloud services and distributed systems. • Experience with CLI-based architecture for tools design. • Knowledge of MCP-based architecture for AI tools design. • Experience with databases for simulation metadata and results. What Will Give You a Competitive Edge ( Preferred Qualifications ): • Optional AI skills: ML lifecycle basics, Vector search or embeddings, and model integration. • Experience with microservices for simulation orchestration. • Knowledge of Kubernetes for running compute workloads. • Performance tuning expertise for simulation or AI pipelines. • Experience with automotive data and domain modeling. • Experience w ith ontology-based engineering processes and architecture frameworks . • Advanced knowledge of ontology technologies and ontology design patterns ( Owl, RDF, SPARQL, Automated reasoning ). #LI-DH2 This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. The selected candidate will be required to travel About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead