Jobs / United States / General Motors Company
Senior Software Engineer, Full Stack Web Development – GCP & Vertex AI Focus
General Motors Company · 🇺🇸 Austin, Texas, United States of America
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 Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Austin TX IT Innovation Center 3-4 days per week (T-W-Th) Who We Are We are the Brands & Marketing Software Engineering Team within the Digital Products Engineering (DPE) organization at GM. Our team collaborates closely with marketing leaders from across GM to build easy-to-use tooling that powers engaging and innovative customer experiences at scale — including AI-powered discovery and search experiences — while providing meaningful value to our customers through a seamless customer journey. Our mission is to rapidly and relentlessly ideate, iterate, and launch the next generation of innovative solutions to connect GM with current and future customers, increasingly leveraging Google Cloud Platform (GCP) and Vertex AI Search to deliver intelligent, personalized digital experiences. Our team comprises industry-leading software and quality engineers, who utilize a variety of innovative development methodologies and technologies to achieve breakthrough results, drive innovation, and delight customers. The Role We are looking for an exceptional Senior Software Engineer (Full Stack Web) who is excited about building high-impact web products across General Motors and designing intelligent search and discovery capabilities on Google Cloud Platform using Vertex AI Search. You will be responsible for helping lead our engineering efforts across planning, design and architecture, execution, and ramp — with a particular emphasis on: • Building modern web applications that integrate with GCP-native services • Designing and implementing AI-powered search experiences leveraging Vertex AI Search • Collaborating with product, marketing, and data/ML partners to experiment, measure, and continuously improve search relevance and customer engagement • As a technical leader on the team, you will mentor less experienced engineers, build strong relationships with technical leaders on other teams, and help evolve our engineering culture and best practices. What You’ll Do • Develop competency across our complete web technologies stack (client, framework, and services). • Produce high quality software that is unit tested, reviewed, and checked in regularly for continuous integration and deployment. • Serve as a tech lead, actively mentoring other engineers on the team and helping drive technical decisions and tradeoffs. • Investigate and resolve performance bottlenecks across the full stack, including browser, edge, and cloud services. • Lead efforts to automate testing, quality gates, and delivery pipelines, with a strong focus on reliability and observability. • Work on API, Content Management, edge, and cloud systems that power GM brand and marketing experiences. • Leverage your technical leadership to ensure we adhere to engineering best practices and evangelize opportunities to improve engineering productivity, and craftsmanship. With a specific focus on Google Cloud Platform and Vertex AI Search, you will: • Design and build web applications and services on GCP, leveraging services such as Cloud Run, GKE, Cloud Functions, Pub/Sub, Cloud Storage, Cloud SQL/Spanner, and BigQuery where appropriate. • Implement and integrate Vertex AI Search to power intelligent search, semantic retrieval, and content discovery across GM’s digital products (e.g., marketing sites, owner experiences, support content). • Define and evolve search schemas, indexing pipelines, and relevance signals (e.g., metadata, event telemetry, personalization signals) to continuously improve search quality and user satisfaction. • Collaborate with data science and ML partners to productionize and iterate on search and recommendation models using