Lead Performance Modeling Engineer - GPU SoC

Lead Performance Modeling Engineer - GPU SoC

The Role:

Architect, Analyze and optimize high-performance SoCs for Cloud computing, and machine learning acceleration. Propose solutions to enhance performance and optimize power. Explore, analyze and optimize next-generation data center systems.

The Person:

Do you seek the most sophisticated challenges in the computing industry As a passionate system performance architect on our design engineering team, you will propose and implement solutions to our next generation GPU SoC and data center system application performance issues.

Key Responsibilities:

• Serve as a Performance Architect in AMDs electronics design engineering team.
• Participate in microarchitecture exploration, performance modeling, and analysis for next-generation GPU and data center systems.
• Intimately understand design architecture and propose solutions to enhance performance
• Responsible for micro-benchmarking, workload characterization, competitive analysis, bottleneck identification, and optimization.
• Develop tools and methodology for performance analysis of workloads.
• Communicate, propose, and implement solutions to processor and system performance issues.

Preferred Experience:

• Experience with GPU, CPU or computer system microarchitecture
• Experience with the development and usage of computer system performance models
• Experience with computer workload analysis
• Strong programming skills, including experience with C++ and Python (or similar)

Academic Credentials:

• Bachelors, Masters, or PhD degree in Electrical Engineer, Computer Engineering, Computer Science or a closely related field
• Masters or PhD with emphasis on Computer Architecture performance studies preferred

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