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Niche GPU/SoC performance modeling and senior lead role reduces applicant density despite Tier-1 brand.
Highly specialized GPU/SoC microarchitecture skills limit cross-industry transferability.
Requires specialized microarchitecture experience, performance modeling skills, and advanced degree preference so screening will be strict.
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Architect and optimize high-performance GPU SoCs and data center systems focusing on cloud computing and machine learning acceleration.
Lead microarchitecture exploration, performance modeling, benchmarking, workload characterization, and bottleneck analysis for next-generation GPU and data center systems.
Develop tools and methodologies for performance analysis and propose implementable solutions to improve processor and system performance.
Degree in Electrical Engineering, Computer Engineering, Computer Science, or closely related field; Masters or PhD with emphasis on Computer Architecture performance preferred.
Experience with GPU, CPU, or computer system microarchitecture and performance modeling required.
Strong programming skills in C++ and Python (or similar) required.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced system performance architect with a focus on high-performance computing and data center GPU SoC systems.
Skilled in micro-benchmarking, workload characterization, and competitive analysis to identify and resolve performance bottlenecks.
Comfortable working in a design engineering environment with responsibilities spanning analysis, tool development, and cross-functional communication.