Jobs / United States / General Motors Company

Staff Systems Engineer – Sensor Systems Engineering & Architecture

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 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. A foundational requirement for safe, scalable autonomy is that sensing systems perform reliably across the full range of real-world weather conditions.   We are seeking a Staff Systems Engineer to join the Sensor Systems Engineering & Architecture team to provide technical leadership in defining how autonomous sensing systems are characterized, specified, and   validated   under weather and contamination conditions. This role focuses on system-level decisions at the intersection of sensors,   perception   software, vehicle platforms, and real-world operating environments — ensuring that sensing solutions are technically sound, weather-resilient, and executable in production.   In this position, you will lead system-level trade studies, define performance requirements for sensors under adverse weather and contamination scenarios, and develop the technical frameworks used to assess sensor cleaning solutions. You will work closely with   perception , validation, platform software, and vehicle integration teams to drive forward a rigorous and scalable approach to weather and cleaning performance assessment. This role is intended for engineers who are comfortable operating in ambiguity, applying first-principles analysis, and providing steady technical direction as systems mature from early development into deployed solutions.   What   You’ll   Do   You will get the op portunity to   contribute to   one or more of the following.   • Lead system-level trades, requirements decomposition, and integration requirements for autonomous sensor systems across radar, cameras, and lidar with associated cleaning systems   • Lead the technical assessment, characterization, and performance benchmarking of sensor systems — including active and passive cleaning mechanisms — across vehicle programs   • Translate autonomy and product performance intent into system architectures, functional decompositions, and requirements   • Work closely with software platform teams, vehicle integration, hardware teams, perception, and validation teams to manage complex interdependencies and drive forward progress   • Ensure system designs meet safety, regulatory, quality, and performance requirements relevant to autonomous vehicle operation in diverse environmental conditions   • Drive continuous improvement in sensing system robustness   • Clearly document technical decisions, trade-offs, and deliverables.     Your Skills & Abilities (Required Qualifications)   • Bachelor's degree in Systems, Electrical, Software, Mechanical Engineering, or a related technical field   • 10+ years of experience in systems engineering, system integration, or hardware-intensive product development   • Experience working with sensing systems (camera, radar, lidar, or similar) and a technical understanding of the effects of weather and contamination on performance   • Experience leading cross-domain technical initiatives for the evaluation and validation of sensor performance   • Expertise in requirements decomposition and development   • Demonstrated ability to operate effectively in ambiguous problem spaces and drive technical alignment across teams   • Experience with Matlab, Python, or other tools to support data analysis and analysis tooling development     What Will Give You a Competitive Edge (Preferred Qualifications)   • Master's degree or PhD in Engineering or a related technical discipline   • Direct experience characterizing or modeling sensor performance degradation in adverse weather conditions (rain, snow, fog, aerosol, or equivalent) for high-fidelity sensors   • Familiarity with weather simulation m

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Source: Employer career site (Workday) First seen: 2026-08-30 Last confirmed: 2026-10-02 How our data works → Report this job

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