Jobs / United States / General Motors Company
Sr. Software Engineer - AI Quality and Productivity
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 roles22 certified filings for “Senior Software Engineer” (Software Quality Assurance Analysts and Testers) in MI: $112k–$137k, median $125k. Most were filed at wage level IV (68%) — 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 The Role The AI Quality and Productivity team in the Product Validation, Safety and Quality IT org is responsible for empowering Quality and Warranty teams by delivering reliable and secure AI-driven tools that streamline workflows, accelerate decision making, surface actionable insights, and unlock measurable productivity gains across the product lifecycle. As a Senior Software Engineer, you will be responsible for developing data intensive and AI-enabled software applications that support Product Development engineering teams. You will work with complex data requirements and deliver solutions using industry standard practices across SQL, Databricks, and modern programming languages such as Java and Python. You will design and build software and data solutions based on detailed requirements and system specifications, with a strong focus on data quality, performance, and reliability. This role offers the opportunity to advise, coach, and mentor other software engineers while shaping how engineering teams access and use data and AI. You will help define patterns and best practices for SQL, Databricks (DBX), and AI/ML integrations within VEQ and play a key role in ongoing modernization and cloud initiatives. What You'll Do • Design, develop, and maintain data driven and AI-enabled applications and services that support Product Development and Quality teams. • Write high-quality, performant SQL (queries, functions, stored procedures) for complex data transformations and modeling across enterprise data platforms (e.g., SQL Server, Oracle, PostgreSQL). • Build and optimize data pipelines and workflows in Databricks (DBX) and related tools to support batch and near real-time data processing. • Develop backend services and APIs in Java and/or Python that integrate data, business rules, and user workflows into robust, reusable components. • Develop enterprise grade applications using Kubernetes/Docker, Quarkus, Java, Angular, PostgreSQL, and other GM approved tools. • Partner with data science and AI teams to productionize AI/ML and LLM based solutions, including feature pipelines, inference integrations, monitoring, and continuous improvement. • Proactively identify and remediate issues related to code quality, patterns, performance, security, and data correctness, using code quality analysis tools and remediation techniques. • Lead or contribute to solution design, including architecture, patterns, and technology choices aligned with GM standards and Statement of Technical Direction. • Apply and champion software engineering best practices, including code reviews, automated testing, branching strategies, CI/CD pipelines (e.g., GitHub Actions), observability, and secure coding practices. • Collaborate with cross-functional teams (product owners, data engineers, architects, business stakeholders) to refine requirements, define acceptance criteria, and deliver incremental value in an Agile/SCRUM environment. • Troubleshoot and resolve production issues across the full stack (data, application, infrastructure), driving root cause analysis, stable fixes, and clear documentation. • Navigate complex corporate processes to remove project roadblocks and keep delivery on track. • Provide guidance and mentoring to fellow software engineers and team members, helping grow skills in SQL, Databricks, cloud, and AI related technologies. • Document software and data solutions and ensure technical documentation meets GM standards and can be leveraged across Product Validation, Safety and Quality teams. Your Skills & Abilities (Required Qualifications) • Bachelor’s Degree in Computer Science, Software Engineering, Information Systems, Engineering, or a related field, OR equivalent experience. • 6+ years of experience