Jobs / United States / General Motors Company

Senior Systems Engineer – Sensor Packaging and Placement

General Motors Company · 🇺🇸 4 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 roles8 certified filings for “Software Systems Engineer” (Mechanical Engineers) in CA: $192k–$220k, median $209k. 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).

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Sponsor Radar — General Motors Company

606 H-1B filings certified since Oct 2025

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 General Motors is developing hands-off and eyes-off autonomous driving systems intended for broad deployment across consumer vehicles. As part of this effort, GM is investing in sensors and architectures that can be integrated, validated, and operated reliably at scale across diverse vehicle programs and operating environments.  We are seeking a Senior Systems Engineer – Sensor Packaging and Placement specializing in sensor placement and analysis to join the AV Sensing Design team to support the integration strategy for autonomous sensing suites across diverse vehicles. This role focuses on sensor placement optimization, mounting tolerance stack-up analysis, and coverage trade studies resulting in robust integration criteria for production.  In this position, you will execute sensor location and field-of-view (FOV) and coverage analysis across multi-modality sensor suites, evaluate intrinsic and extrinsic mounting tolerances, and perform placement studies for cameras, radars, and lidars. You will work closely with cross-functional partners in perception, simulation, packaging, and vehicle platform engineering to translate complex environmental and vehicle constraints into actionable integration criteria .  What You’ll Do  You will get the opportunity to contribute to one or more of the following: • Conduct placement trade studies and mechanical integration analyses for the design of multi-modality sensor systems, supported by detailed coverage modeling and AV behavioral impact assessments. • Perform FOV coverage analysis and develop modal profiles and integration criteria for sensor suites across diverse vehicle platforms. • Assess performance against product needs to assess risk, quantify impact, and drive continuous improvement • Work closely with cross-functional stakeholders such as simulation, vehicle integration teams, and production teams • Clearly document technical decisions, trade‑offs, and deliverables.    Your Skills & Abilities (Required Qualifications)  • Bachelor’s degree in Mechanical Engineering, Aerospace Engineering, or a related technical field. • 5+ years of experience integrating sensors, sensor packaging, tolerance stack-up analysis, or related fields. • Experience with CAD modeling, such as Solidworks, NX, or other related tools • Demonstrated expertise in sensor integration analysis, mechanical trade studies, and analytical methods for placement optimization. • Understand of the challenges of self-driving and how sensor placement impacts safety and product performance. • Demonstrated ability to operate effectively in complex technical domains and collaborate across teams.  • Experience with Matlab, Python, or other languages to support tooling development as needed.   What Will Give You a Competitive Edge (Preferred Qualifications)  • Master’s degree in Mechanical Engineering or a related discipline.  • Experience working on L4 (or equivalent) autonomous vehicle programs or advanced remote sensing platforms.  • Experience applying advanced mechanical engineering analysis (e.g., CAD/NX modeling, FEA, structural dynamics, thermal analysis) to sensor packaging and placement.  • Experience with Blender Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.  • The salary range for this role is  153,200 to 234,100. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. • Bonus Potential: An incentive pay program offers payouts based on company performance, jo

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Source: Employer career site (Workday) First seen: 2026-10-02 Last confirmed: 2026-10-03 How our data works → Report this job

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