Jobs / United States / General Motors Company
Senior Electrical Hardware Engineer – MCU Performance Analysis
General Motors Company · 🇺🇸 Warren, Michigan, 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 roles60 certified filings for “Design Release Engineer” (Electrical Engineers) in MI: $132k–$155k, median $140k. Most were filed at wage level IV (81%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Last confirmed live 1 day agoWhen 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
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 Our Mission: At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard — from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features. Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale. The Role General Motors is at the forefront of the transformation of automotive with the electrification of our portfolio and the development of leading-edge central compute, connectivity, and autonomous capabilities. Our Semiconductor Engineering team is a dynamic, high‑energy, and innovative group focused on design and commercialization of leading‑edge silicon enabling the future of GM’s Software Defined Vehicle (SDV) platforms – centra We are seeking a highly skilled and driven Senior Hardware Engineer – MCU Performance Analysis to join our Semiconductor Center of Excellence. In this pivotal role, you will lead the definition, development, and execution of MCU performance analysis strategies for state‑of‑the‑art microcontroller solutions used in next‑generation automotive electronics platforms. You will be responsible for MCU‑centric performance modeling, analysis, and correlation, including workload and benchmark definition, silicon performance simulations, measurement and debug to ensure our MCU platforms meet functional, performance, efficiency, and real‑time requirements from concept through production. What You’ll Do: • Define MCU performance analysis strategies, including KPIs, workloads, benchmarks, coverage goals, and pass/fail criteria • Develop performance and design specifications to support sourcing, architecture trade-offs, and ECU/system decisions • Identify and resolve performance bottlenecks across cores, memory, interconnects, peripherals, and software stacks • Build and maintain MCU performance models to support architectural exploration, sizing studies, and what-if analyses • Select or develop representative workloads and benchmarks for automotive use cases such as real-time control, diagnostics, safety monitoring, communications, and signal processing • Create and maintain automation, tools, and scripts for analysis, data collection, and reporting using Python, C/C++, or similar languages • Partner with hardware, ECU, and software teams to translate system requirements into measurable performance targets and test cases • Present performance insights, trade-offs, and recommendations to technical and non-technical stakeholders Required Qualifications: • Bachelor’s degree in Electrical Engineering, Computer Engineering, Software Engineering, Computer Science, or a related field. • 7+ years of experience in MCU or embedded processor performance analysis, modeling, or embedded systems development. • Strong understanding of MCU/CPU architecture, including pipelines, caches, memory subsystems, buses/interconnects, peripherals, interrupts, and real-time constraints. • Demonstrated experience defining and executing structured performance analysis plans, including definition of objectives, workloads, metrics, and traceability to system requirements. • Hands‑on experience analyzing and optimizing embedded/MCU‑based systems, including profiling, hotspot analysis, and trade‑offs across performance, power, and memory. • Experience developing automation, tools, or scripts for performance analysis and data processing (for example, Python, C/C++, or similar scripting environments). • Experience in workload and benchmark s