Senior Hardware Engineer – MCU Performance Analysis

General Motors•Warren, MI

1d•Hybrid

About The Position

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. 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.

Requirements

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 selection, analysis, and development.
Proven ability to conduct feasibility studies evaluating performance metrics, design trade-offs and presenting solutions that optimize system performance, power and timing.

Nice To Haves

Master’s degree in Electrical Engineering, Computer Engineering, Software Engineering, Computer Science, or a related field.
Experience with automotive or other safety‑critical MCUs and ECUs, including real‑time and functional safety consideration.
Programming experience in languages such as C, C++, or Python.

Responsibilities

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