Jobs / United States / General Motors Company

General Motors Company

Staff Lidar Technical Specialist

Warren, Michigan, United States of America Posted today

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Skills this job asks for

Product managementProcurementLeadershipPythonC++Communication

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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.
  • 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.
  • What General Motors Company paid sponsored hires in similar roles1 certified filing for “Electrification Technical NDA Lead” (Sales Engineers) in MI: $171k–$171k, median $171k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
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. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-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 roles
1 certified filing for “Electrification Technical NDA Lead” (Sales Engineers) in MI: $171k–$171k, median $171k. 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).

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.

About the role

Job Description We are looking for a LiDAR Technical Specialist to join our ADAS Hardware team and help us build the best automated vehicles in the world. The ADAS Hardware Team is responsible for the benchmarking, development and integration of LiDAR sensors on production vehicles. This work includes all phases of development from early concept and requirement generation all the way through production. We work cross-functionally with various parts of General Motors. Members of the ADAS Hardware Team are expected to be highly multidisciplinary, as successful sensor integration requires expert understanding and comfortability of concepts across many disciplines including both hardware and software. As the LiDAR Technical Specialist You Will: • Lead technical development of LiDAR sensing systems from early concept, benchmarking, and sourcing through production launch • Define sensor performance targets, requirements, evaluation criteria, and validation plans based on vehicle, perception, and ODD needs • Create the LiDAR Technology Roadmap which helps the organization understand and incorporate future technologies into next-gen products. • Primary GM engineering technical resource for the development of LiDAR. • Interact closely with component suppliers and works with the Purchasing organization to support sourcing activities, • Supports vehicle Failure Mode and Effect Analysis (FMEA) activities • Drive sensor benchmarking and technical down-selection across potential suppliers and technologies. • Lead supplier technical engagement, including requirements reviews, data reviews, architecture discussions, issue resolution, and design maturity assessments • Guide architecture and tradeoff decisions related to sensing performance, environmental robustness, packaging, manufacturability, and cost • Review test data from supplier, bench, track, and vehicle testing; identify performance gaps; determine root cause; and drive corrective actions • Work cross-functionally with vehicle program teams, systems, perception, validation, vehicle integration, manufacturing, and quality teams to ensure the sensor meets downstream functional and program needs • Assess whether supplier evidence is technically credible by reviewing test conditions, assumptions, filtering, sample quality, boundary cases, repeatability, and alignment to sensor physics and system requirements • Establish technical plans, milestones, risks, and mitigation strategies to keep sensor programs on track toward nomination and launch • Communicate technical status, open issues, and tradeoffs clearly to engineering leadership and cross-functional partners Requirements • Bachelor’s Degree in Engineering, Physics, Math, Computer Science, or Chemistry • 5+ years of development experience with LiDAR or other Optical sensors or similar systems • Working Knowledge of Matlab/Python/C++ experience • High level of oral and written communication skills • Understanding of engineering theory and principles of operation of computer/electrical mechanisms • Demonstrated technical and professional skills in job-related area required • Exhibits appropriate interpersonal styles and communication methods to work effectively with business partners to meet mutual goals • High level analytical ability where problems are unusual and complex • High level of interpersonal skills to work independently and effectively with others Desired Skills • Master’s/PhD Degree in Engineering • Automotive safety critical electronics experience This role is categorized as hybrid . This means the successful candidate is expected to report to the GM Technical Center in Warren, MI three times per week, at minimum . Benefits: • Benefits: GM offers a variety of health and wellbeing benefit progra

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