Jobs / United States / General Motors Company
Software Engineer, Data Software Engineering and Cloud Platforms, Early Careers
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 roles171 certified filings for “Senior Software Engineer” (Software Developers) in MI: $140k–$163k, median $150k. Most were filed at wage level IV (74%) — 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 GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.) This role is categorized as hybrid. This means the successful candidate is expected to report tooffices in Austin, TX, Warren, MI or Seattle, WA three times per week, at minimum. The Role We are seeking entry-level Software Engineers to join teams across GM’s Data Software Engineering and Cloud organizations. In these roles, you will contribute to the development, deployment, and support of reliable, scalable data platforms and cloud services that enable business-critical products, applications, analytics, and engineering workflows. You will work alongside experienced software, data, and cloud engineers to build services and tools for data ingestion, processing, storage, serving, and platform automation. This is an opportunity to grow your software-engineering skills while gaining hands-on experience with distributed systems, cloud infrastructure, and large-scale data platforms. What You’ll Do • Contribute to the development, deployment, and improvement of data and cloud services. • Learn and apply operational-excellence practices, including service-level objectives and indicators, monitoring, alerting, troubleshooting, and incident response. • Collaborate with software, data, ML, and cloud engineers to understand user needs, translate requirements into technical solutions, and help build self-service capabilities. • Implement features and technical projects from design through testing, deployment, and support, with guidance from senior team members. • Participate actively in sprint planning, code reviews, design discussions, documentation, and retrospectives. • Write maintainable, well-tested code and help improve the reliability, performance, cost efficiency, and usability of team services. • Develop familiarity with cloud infrastructure, deployment automation, observability, and the full operational lifecycle of production systems. • Build knowledge of the tools, architectures, and data workflows that support our technology ecosystem. Your Skills & Abilities • Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, or another relevant field; or equivalent real-world experience. • 0–2 years of software-engineering experience, including internships, co-op experience, academic projects, or equivalent hands-on work. • Foundational proficiency in at least one programming language such as Java, C++, Go, or Python. • Understanding of software-engineering fundamentals, including data structures, algorithms, testing, version control, and code review. • Familiarity with developing or supporting services, applications, or data-processing systems. • Exposure to at least one major public cloud provider, such as Azure, GCP, or AWS, through coursework, projects, internships, or professional experience. • Strong problem-solving, communication, collaboration, and learning skills. • Interest in contributing to reliable, scalable systems and supporting services in a production environment. What Can Give You a Competitive Advantage • Familiarity with distributed systems, APIs, microservices, containers, or cloud-native development. • Exposure to deployment automation, monitoring, logging, metrics, or other observability practices. • Academic, internship, or personal-project experience related to autonomous vehicles, robotics, machine learning, or large-scale data platforms. Compensation: