Jobs / United States / General Motors Company
Staff Software Engineer - DevOps/VCU-CCU Infotainment Systems
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 roles8 certified filings for “Software Systems Engineer” (Mechanical Engineers) in CA: $192k–$220k, median $209k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% 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 or Mountain View, CA three times per week, at minimum. About the Role At General Motors, we are building software -defined vehicle platforms that will power the future of mobility. We are seeking a Staff Software Engineer to lead the technical direction of DevOps and platform engineering for next-generation infotainment systems across VCU and CCU platforms. This role combines deep technical execution with cross-functional leadership. You will drive the architecture, implementation, and operational excellence of the build, test, release, and developer productivity ecosystem that enables reliable software delivery at scale. In line with GM's staff-level engineering expectations, this role requires end-to-end ownership, strong architectural judgment, and the ability to influence technical direction across teams without direct authority. You will partner closely with engineering, release management, quality, infrastructure, and program stakeholders to modernize CI/CD, improve developer velocity, strengthen observability, and raise the quality and reliability bar for infotainment software delivery. What You'll Do • Define technical strategy and architecture for DevOps, CI/CD, and build platforms supporting VCU/CCU infotainment systems across multiple vehicle programs • Design and optimize scalable CI/CD pipelines for embedded Linux ( Yocto ) builds, including build orchestration, test automation, artifact management, and release workflows • Improve build performance and reliability through distributed build systems ( BuildBarn /RBE), caching strategies, and infrastructure optimization • Automate release processes including branching strategy, versioning, artifact promotion, quality gates, and compliance checks • Build self-service platforms, tooling, and dashboards that reduce manual effort and accelerate delivery for engineering teams • Improve developer workflows through GitHub automation, PR validation, smoke testing, and streamlined feedback loops • Establish end-to-end observability and operational excellence using metrics, logs, dashboards, alerting, incident response, and root cause analysis • Leverage AI/ML techniques for predictive build failures, intelligent test selection, resource optimization, anomaly detection, and proactive incident prevention • Lead cross-functional initiatives from concept to production, including architecture reviews, technical design discussions, and communicating trade-offs to stakeholders • Mentor engineers across DVE on CI/CD best practices, build engineering, and infrastructure patterns • Drive continuous improvement through code reviews, design guidance, process optimization, and participation in hiring and team development Your Skills & Abilities (Required Qualifications) • Bachelor's degree in computer science , Software Engineering, Electrical Engineering, or related field, or equivalent practical experience. • 10+ years of experience in software engineering, DevOps, build engineering, platform engineering, or release engineering roles aligned with staff-level scope at GM. • Proven experience leading large technical initiatives across multiple teams from design through production rollout. • Strong experience designing and operating scalable CI/CD systems and developer platforms. • Deep knowledge of build and automation tooling such as Jenkins, GitHub Actions, GitLab CI, or similar. • Experience with embedded Linux build systems, cross-compilation environments, or complex platform build pipelines. • Strong programming and scripting skills in languages such as