Senior Hardware Engineer – MCU Performance Analysis

Job 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. Were turning todays impossible into tomorrows 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 highenergy and innovative group focused on design and commercialization of leadingedge silicon enabling the future of GMs 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 this pivotal role you will lead the definition development and execution of MCU performance analysis strategies for stateoftheart microcontroller solutions used in nextgeneration automotive electronics platforms.

You will be responsible for MCUcentric 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 realtime requirements from concept through production.

What Youll 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:

• Bachelors 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.

• Handson experience analyzing and optimizing embedded/MCUbased systems including profiling hotspot analysis and tradeoffs 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):

• Masters degree in Electrical Engineering Computer Engineering Software Engineering Computer Science or a related field.

• Experience with automotive or other safetycritical MCUs and ECUs including realtime 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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About GM

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Why Join Us

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Benefits Overview

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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.

Accommodations

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