Jobs / United States / General Motors Company
2027 Summer Intern, SEAM, Embodied AI
General Motors Company · 🇺🇸 Sunnyvale, California, 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 roles2 certified filings for “Senior ML Engineer - Embodied AI Offboard Percepti” (Data Scientists) in CA: $230k–$240k, median $235k. Most were filed at wage level III (100%) — 3 lottery entries, ≈46% 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 Work Arrangement: Hybrid: This internship is categorized as on-site. The selected intern is expected to report to the office 3 days a week. Location: Sunnyvale, CA About the Team The State Estimation, Alignment, and Mapping (SEAM) team develops the sensing and spatial understanding capabilities that help autonomous vehicles know where they are, interpret their surroundings, and maintain reliable operation over time. The team works on sensor fusion, state estimation, real-time localization, static and dynamic sensor calibration, next-generation mapping, and capabilities that support primary and fallback driving systems. SEAM combines robotics, computer vision, estimation theory, machine learning, geometry, and production software engineering. Our work supports both onboard, real-time autonomy and offboard, high-fidelity map and data-generation workflows. About the Role As a SEAM Intern, you will work on a well-scoped research or engineering project related to sensing, estimation, localization, mapping, or autonomy reliability. You will collaborate with experienced engineers and researchers to design algorithms, implement software, evaluate system performance, and understand how sensing capabilities operate in real-world autonomous driving systems. Potential focus areas include: • State Estimation and Sensor Fusion: Combine information from multiple sensors and vehicle signals to estimate position, orientation, motion, and other states robustly. • Sensor Alignment and Calibration: Develop methods for static and dynamic calibration, sensor registration, and maintaining alignment as vehicle and environmental conditions change. • Localization: Improve real-time localization and map-based positioning across diverse driving environments. • Next-Generation Mapping: Build or evaluate high-fidelity, large-scale maps that provide useful spatial context beyond the immediate sensor range. • Fallback and Secondary Capabilities: Develop reliable estimation, localization, or mapping functions that support safe operation when nominal system capabilities are unavailable or degraded. What You’ll Do • Develop, prototype, and evaluate algorithms for sensor fusion, state estimation, localization, calibration, mapping, or related autonomy capabilities. • Work with camera, lidar, radar, inertial, vehicle, map, and other multimodal data sources. • Implement software and tools for data processing, visualization, offline analysis, simulation, and system evaluation. • Analyze accuracy, robustness, latency, and failure modes across diverse operating conditions. • Apply software engineering best practices, including design reviews, code reviews, automated testing, continuous integration, and documentation. • Collaborate with perception, planning, controls, robotics, systems engineering, and vehicle-program partners. • Communicate technical findings and contribute to design discussions and project documentation. Required Qualifications • Currently enrolled in or pursuing a Master’s or Ph.D. degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, Applied Mathematics, or a related technical field. • Demonstrated experience through coursework, research, academic projects, or professional work in robotics, state estimation, sensor fusion, computer vision, localization, mapping, controls, or a related area. • Strong programming skills in C++ and/or Python. • Strong foundation in linear algebra, probability, geometry, optimization, or estimation methods. • Strong analytical and problem-solving skills. • Ability to work collaboratively in a cross-functional, team-oriented environment. • Strong written, verbal, and presentation skills. • Availability to work full-time, 40 hours per week, dur