Researcher - Vehicle Compute Platforms & SoC/MCU Semiconductor Systems
Listed on 2026-07-04
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Engineering
Systems Engineer, Research Scientist
Staff Researcher - Vehicle Compute Platforms & SoC/MCU Semiconductor Systems
Location: GM Global Technical Center – Warren, MI (Software Defined Vehicle Research Lab)
Organization: GM R&D – Electrical and Software Architecture Group
Why this role mattersAt GM, a Staff Researcher is a senior-level researcher role, recognized for leading high-impact research, shaping strategy, and representing GM in their field. Join us if you are a passionate researcher with senior‑level expertise in semiconductor platforms, embedded compute, and electrical/software architectures for future Software‑Defined Vehicles.
GM R&D’s Electrical and Software Architecture group invents, evaluates, optimizes, and matures next-generation in‑vehicle architectures, compute platforms, and communication systems that enable GM’s vision of the Software Defined Vehicle. We focus on how SoCs, MCUs, memory, networks, and low-level software come together into robust, safe, and cost-effective automotive platforms, spanning deeply embedded ECUs as well as high-performance compute platforms for infotainment and automated driving.
Whatyou will do
You will be the group’s subject‑matter expert for semiconductors and compute platforms
, with a focus on SoCs, MCUs, memory subsystems, and associated board-level and platform software technologies for automotive ECUs, infotainment systems, and centralized/automated driving compute platforms. As a Staff Researcher, you are expected to define, propose, and develop research projects in alignment with GM R&D’s strategy and priorities, and to clearly define, communicate and demonstrate the value your work creates for GM and our customers.
responsibilities
- Lead semiconductor-focused research projects that influence GM’s electrical and software architecture roadmaps (central compute, zonal ECUs, domain controllers, edge nodes, infotainment, and automated driving compute platforms).
- Design and implement proof‑of‑concept prototypes on our R&D lab benches
, using evaluation platforms and representative in‑vehicle architecture benches to validate concepts before transfer to product teams. - Represent GM in domestic and international standards bodies and technical meetings (e.g., IEEE 802.3, IEEE 802.1), including approximately 10–15% travel and quickly developing deep expertise in Ethernet‑based in‑vehicle protocols and IEEE 802 specifications to effectively navigate and influence complex standardization efforts.
- Evaluate and benchmark SoCs/MCUs and memory technologies (CPU cores, accelerators, interconnects, DDR/LPDDR, flash, NVM, cache hierarchies) for latency, throughput, power, cost, and safety/security trade‑offs.
- Explore and prototype new compute and communication concepts using FPGAs, evaluation boards, and custom circuitry to de‑risk new architectures and features (e.g., real‑time safety‑critical functions, mixed‑criticality workloads).
- Contribute to ECU and board-level design concepts
, working with internal teams and suppliers on power, clocks, reset, high‑speed interfaces (PCIe, Ethernet, DDR), and bring‑up strategies. - Drive low-level software concepts around boot flows, board support packages (BSPs), bare-metal or RTOS-based implementations, device drivers, and hardware abstraction needed for SDV architectures.
- Collaborate closely with GM engineering, purchasing, and suppliers to align semiconductor choices with GM’s long-term architecture, safety, cybersecurity, and cost objectives.
- Seek out and aggressively pursue technology insertion opportunities at GM, working with product engineering and program teams to move successful research outcomes into production programs, pilots, or platform roadmaps.
- Publish and protect IP through internal reports, patents, and external publications where appropriate, and represent GM R&D at key technical conferences and workshops.
- Mentor researchers and early‑career engineers
, helping grow GM’s internal expertise in semiconductor and compute‑platform topics.
- M.S. in Computer Engineering, Computer Science, Electrical Engineering, or related field;
Ph.D. preferred. - 8+ years of relevant industrial or research experience (or 5+ with a Ph.D.) in…
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