Jobs / United States / General Motors Company
Staff Systems Engineer– Automotive Network Communications
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 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).
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 The Role: We are seeking a highly skilled and motivated Staff Systems Engineer-Automotive Network Communications to lead the definition, assessment, and continuous improvement of in‑vehicle network performance across multiple vehicle product spaces. This role is critical in establishing and managing the Network Performance Budget, Forecast, and Load Assessment for GM’s electrical architecture, ensuring that current and future feature content can be delivered reliably and at scale across Ethernet, CAN, LIN, UART, and other in‑vehicle networks. The ideal candidate will bring deep expertise in automotive network architectures and performance analysis, strong systems thinking, and a collaborative mindset to drive data‑driven decisions and architectural trade‑offs. This role partners closely with Electrical Architecture PSEs, ECU software and hardware teams, and product/program leadership to ensure that network capacity and performance are designed, measured, and governed as a first‑class architectural concern. What You'll Do (Responsibilities): Network Performance Budget & Forecast • Define and maintain the Network Performance Budget by product area (e.g., propulsion, body, chassis, ADAS, infotainment) across vehicle programs and architectures. • Forecast future network loading and bandwidth needs based on product roadmaps, feature growth, and architectural strategy (SDV2 & beyond). Network Load Assessment & Analysis • Drive end‑to‑end network load assessment activities including message catalog reviews, traffic modeling, and simulation/measurement of bus utilization, latency, and jitter for Ethernet, CAN, LIN, and other vehicle networks. • Establish clear criteria and thresholds for acceptable network loading and performance and communicate these to product teams. Network Performance Dashboarding • Create and manage a Network Performance Dashboard that provides visibility to leadership and product teams on current and projected network performance health. Design Reviews & Governance • Support Electrical Architecture Reviews (EAR) and other forums to evaluate the network implications of new features, ECUs, and topology changes, providing clear recommendations and risk assessments. • Partner with EA PSEs to ensure adherence to Electrical Architecture Core Principles , including performance, reliability, and scalability, and provide data‑driven input to NAR/SAR and other change control processes. Collaboration with Software, Hardware, and Microcontroller Stakeholders • Act as a key interface between network performance analysis, ECU software teams, hardware design teams, and microcontroller strategy teams to align on bandwidth needs, timing budgets, and implementation constraints. • Provide a “voice of the customer” perspective for SW and microcontroller teams regarding network‑related performance and resource constraints. Tools, Methods, and Continuous Improvement • Develop, standardize, and continuously improve methods and tools for network performance modeling, simulation, test, and reporting (e.g., message databases, simulation environments, data pipelines for log analysis). • Document and share best practices, reference architectures, and lessons learned to improve consistency and scalability of network performance assessment across product areas. Your Skills & Abilities (Required Qualifications): • Bachelor’s degree (or higher) in Electrical Engineering, Computer Engineering, Systems Engineering, or a related technical field. • Minimum of 7 years of engineering/technical experience, including substantial experience with in‑vehicle networks and/or automotive electrical systems. • Proven experience performing network performance analysis (e.g., utilization, latency, jitter, margin) in complex e