layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

Senior Electrical Hardware Engineer – MCU Performance Analysis at General Motors | LAYIQ

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.

Senior Electrical Hardware Engineer – MCU Performance Analysis

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