Jobs / United States / General Motors Company
2027 Summer Intern – AI & Hardware Analytics, ADPT
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 roles3 certified filings for “Senior Hardware Design Engineer” (Computer Hardware Engineers) in MI: $150k–$165k, median $160k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. The pay stated here ($8,100 – $8,700 per month) is below what this employer usually pays sponsored hires for this role. 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 GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.) To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from. Work Arrangement: On-Site: This internship is categorized as on-site. The selected intern is expected to report to the office 5 days a week. Locations: Warren, MI Milford, MI About the Team: The Automated Driving Production Technology Team develops and improves the production technologies, hardware processes, and analytical capabilities that support automated driving systems. We work across engineering, manufacturing, quality, testing, and operations to improve efficiency, scalability, reliability, and performance. Our team combines expertise in hardware systems, production technology, data science, artificial intelligence, process engineering, and analytics to deliver data-driven improvements to production processes and engineering productivity. What You Will Do: We are hiring an intern to support AI and hardware process efficiency initiatives through data analysis, process optimization, automation, and analytical tool development. AI and Data Science Analyze production, quality, equipment, test, and operational data to identify trends, bottlenecks, variation, and improvement opportunities. Apply statistical analysis, machine learning, anomaly detection, and other AI techniques to support predictive insights and process optimization. Develop data pipelines, analytical models, and automated workflows for engineering and production teams. Hardware and Process Efficiency Evaluate process performance using metrics such as cycle time, throughput, first-pass yield, downtime, capacity utilization, and defect rates. Support root-cause investigations by connecting process conditions, equipment signals, test results, and quality outcomes. Measure the impact of process changes and recommend improvements that reduce manual effort, improve throughput, or increase quality. Analytics and Communication Create dashboards, reports, and visualizations that support technical and operational decisions. Document methods, assumptions, findings, and recommendations. Present results clearly to engineers, technical leaders, and cross-functional stakeholders. Required Qualifications: Working toward a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Industrial Engineering, Manufacturing Engineering, Electrical Engineering, Mechanical Engineering, or a related field. Coursework or project experience in Python, SQL, MATLAB, statistics, data visualization, or machine learning. Able to work full-time, 40 hours per week. Preferred Qualifications: Experience with Python libraries or tools such as pandas, NumPy, scikit-learn, PyTorch, or TensorFlow. Familiarity with Power BI, Tableau, time-series analysis, anomaly detection, predictive maintenance, statistical process control, optimization, or design of experiments. Basic understanding of manufacturing, hardware development, robotics, automated testing, embedded systems, or production operations. Must be graduating between December 2027 and June 2028 Intent to return to degree program after the completion of the internship. Compensation: • The monthly salary range for this role is $8,100 – $8,700 per month • GM will provide a one-time lump sum taxable stipend payment