Jobs / United States / General Motors Company
Staff Systems Engineer - AV Architecture
General Motors Company · 🇺🇸 5 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 At General Motors, we are building on our long-standing legacy of innovation and leadership in advanced driving technologies, exemplified by our industry-leading hands-off driving system, Super Cruise®. Our Autonomous Vehicles (AV) program is driven by a bold ambition to deliver expanded product portfolios that push the boundaries of safe, reliable autonomous and assisted driving experiences. Central to this mission is our Architecture and System Design team, a critical hub that operates at the intersection of requirement definition, architecture and system design, integration, and validation across the AV organization. This team ensures a cohesive and robust system architecture that enables seamless integration of our AV technologies and delivers the high standards of safety and performance our customers expect. About the Role We are seeking an experienced Staff Systems Engineer to lead AV system architecture initiatives across one or more products and functional areas. You will be responsible for defining and managing system-level requirements and architectures, optimizing resource allocation across computational and networking subsystems, and working closely with software and hardware teams to ensure seamless integration of vehicle platform components. This role is highly collaborative, strategic, and technical, influencing platform roadmaps and long-term technical direction. Key Responsibilities • Lead the end-to-end systems engineering for embedded autonomous vehicle (AV) and advanced driver-assistance systems (ADAS) platforms. • Define, document, and manage system-level requirements, ensuring traceability and alignment with product and safety goals. • Develop and maintain hardware, software, and safety related system architectures. • Balance trade-offs in compute resources (CPU, GPU, NPU), memory (RAM), and communication bandwidth (Ethernet) for hardware and . • Perform system resource allocation, profiling, and optimization to meet performance, power, latency, and reliability targets. • Define logical and functional architectures to decompose the system, define data flows and subsystem interactions, and specify how the systems will meet safety and performance requirements. • Collaborate cross-functionally with autonomy software, firmware, hardware, validation, and vehicle integration teams to ensure cohesive system design and implementation. • Drive technical roadmap planning and contribute to strategic decisions on future platform capabilities and scalability. • Identify risks and develop mitigation strategies related to system integration and performance. • Mentor junior engineers and foster a culture of technical excellence and innovation within the team. Your Skills & Abilities (Required Qualifications) • Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Mechanical Engineering, Systems Engineering, or a related technical discipline. • Minimum 6+ years of systems engineering experience, ideally within embedded systems, automotive, robotics, or related industries. • Proven track record of leading system architecture design for complex embedded platforms. • Deep understanding of AV/ADAS domain including embedded computing platforms, sensor integration, and ML-driven approaches to solving autonomy, and robotics problems. • Hands-on experience with system modeling, simulation tools, and requirements management frameworks. • Familiarity with automotive safety standards and practices is a plus. • Excellent communication skills and demonstrated ability to work effectively in cross-disciplinary teams. • Proven ability to navigate and solve problems characterized by high ambiguity Exceptional candidates