Jobs / United States / General Motors Company
Robotics AI Strategy & Program Lead, Early Career
General Motors Company · 🇺🇸 Warren, Michigan, 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 “Director, Embodied AI” (Robotics Engineers) in WA: $425k–$425k, median $425k. 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.
Or apply yourself on the official page →
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 About the role General Motors is building one of the most ambitious AI and robotics programs in manufacturing, developing systems capable of autonomously manipulating thousands of parts across GM’s global plant network. Our Robotics AI organization sits at the intersection of AI research, robotics, manufacturing engineering, and AI product management, driving both cutting‑edge technology and real factory impact. We are looking for a Robotics AI Strategy & Program Lead who can own end‑to‑end, cross‑functional initiatives that cut across AI research, robotics engineering, data infrastructure, and manufacturing operations. They will be known as an operator who gets things done across complex organizations. This role blends strategy, program management, analytics, and hands‑on AI tools work : you will structure the problems, build the dashboards, dive into the data, leverage and build AI agents, and drive large programs to completion while unblocking teams across IT, Purchasing, Vendors, Finance, HR, and Manufacturing. You will be embedded with AI researchers, roboticists, AI engineers, data engineers, and AI product managers , translating between technical and non‑technical stakeholders and ensuring that what we build is strategic, measurable, and shippable - from fast-turnaround experiments to multi-year platform bets. What you will own Program and project leadership • Own end‑to‑end cross‑functional projects from problem framing and strategy through execution, measurement, and iteration. • Program manage large, multi‑team initiatives (e.g., new robotics AI capabilities, data/telemetry programs, analytics or tool rollouts) with clear milestones, owners, and success metrics. • Build and maintain program roadmaps, dependency maps, and risk registers; proactively identify and resolve blockers across teams. • Drive operating rhythms (standups, reviews, steering forums) with AI Research, AI Engineering, Robotics Engineering, Manufacturing Engineering, and AI Product Management. • Roll up your sleeves to push work through organizational and process complexity—coordinating with IT, Purchasing, Vendors, Finance, HR, and other partners to keep programs moving. • Comfortably manage multiple initiatives at once, switching contexts between short-turnaround deliverables and long-horizon programs without dropping details Strategy, storytelling, and decision support • Partner with leadership to define and refine Robotics AI strategy, including problem selection, sequencing of bets, and success metrics. • Structure clear narratives and storyboards that connect technical work to GM‑level business outcomes and manufacturing KPIs. • Prepare executive‑ready presentations and decision docs (SVP and above), highlighting what has changed, what is at risk, and what decisions are needed. • Translate complex technical options into simple, structured trade‑off frameworks for senior decision‑makers. Data, analytics, and tooling • Go deep on data: define questions, shape logging/telemetry requirements, pull and analyze data using SQL, Python, or R, and translate findings into actionable insights. • Build and maintain dashboards (e.g., Looker, Power BI) that track program KPIs, model and system performance, factory deployment health, and operational metrics. • Partner with Data Engineering and platform teams to leverage Databricks and other infrastructure for analytics and reporting. • Design and orchestrate GenAI‑powered workflows and agents to automate repetitive analysis, reporting, and operational tasks where appropriate. • Continuously learn and adopt new AI, data, dashboarding, and tracking tools, and help the broader team do the same AI, robotics, and technical collaboration • Act as a fluent technical partner to AI