Jobs / United States / General Motors Company
Software Engineer, Advanced Analytics
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 At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features. Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale. GM's Advanced Analytics team turns the engineering organization's data into decisions, then builds the software that puts those decisions in front of the people making them. We do the analytics and data science: forecasting and statistical analysis of program execution, the KPIs engineering leadership runs the business on, curated Databricks data products across parts, bills of material, engineering changes, warranty, and resource demand, and a growing amount of AI tooling. Our partners span vehicle hardware engineering, software and electronics, supplier quality, warranty, and program management. The Role This role serves as the second software engineer on a rapidly growing portfolio, supporting end‑to‑end feature development. Work often begins with understanding how vehicle program stakeholders operate and extends through designing schemas, building APIs, developing interfaces, wiring data pipelines, and monitoring service‑level objectives after deployment. Weekly work may span tuning Postgres query plans, building and refining React components, writing Databricks jobs, and adjusting Kubernetes manifests. As the software engineer embedded within a team of data scientists, the position is responsible for defining and executing how software solutions are built . What You'll Do (Responsibilities) • Contribute as part of a cross‑functional team to propose and implement high‑impact, data‑driven software and analytic solutions for engineering organizations. • Build and deliver end‑to‑end features, including Python services, relational data models, and TypeScript/React interfaces. • Develop and maintain data pipelines that integrate GM’s engineering systems of record into applications and data products. • Collaborate with data scientists to operationalize analytical work and deliver it to end users through scalable products. • Deploy and operate production systems using Kubernetes on Azure, CI/CD workflows, infrastructure as code, and modern observability practices. • Partner with stakeholders across vehicle hardware, software, electronics, supplier quality, and program management to translate workflows into adoptable software solutions. • Ensure interfaces are intuitive and user‑friendly, with attention to daily usability and feedback from engineering teams. • Participate in and lead code reviews, testing efforts, and documentation to maintain high engineering standards. Your Skills & Abilities (Required Qualifications) • Bachelor's degree in Computer Science, Engineering, or a related field • 2+ years of experience building and shipping production software • Proficiency in Python and TypeScript/JavaScript, including experience with modern component‑based web frameworks such as React. • Working knowledge of SQL and relational data modeling. • Experience guiding a feature from ambiguous requirements through design, implementation, testing, code review, and production deployment. • Ability to work directly with non‑engineering stakeholders and translate their needs into clear technical decisions. What Will Give You a Competitive Edge (Preferred Qualifications) • 3+ years of experience writing production-quality software • Experience wit