Description
Work Arrangement:
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, MI three times per week, at minimum.
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 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.
What Can Give You a Competitive Edge (Preferred Qualifications):
- 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.
Benefits:
- GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
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Why Join UsWe believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
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Non-Discrimination and Equal Employment Opportunities (U.S.)General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
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