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The GPU Silicon Characterization Team is responsible for characterizing the behavior of Apple's embedded GPUs and determine the best settings to optimize power and performance. We work hand-in-hand with the design, verification, productization, hardware, and software teams to enable world-class GPUs in the embedded space. In this role, you will be responsible for the planning, implementation, and execution of validation plans that focus on power and performance features within the embedded GPU. Team members are involved in test planning, test execution, status communication, data analysis, failure triage, and tool development. You will devise and run experiments to maximize performance, improve operating margins, minimize power usage and help achieve performance/Watt targets for current and future Apple embedded GPUs.

Description:

In this role, you will:

• Identify and drive improvements in silicon-based characterization methodology

• Design, execute, and communicate plans to perform characterization work

• Configure system HW and SW for silicon characterization

• Lead failure triage and debug of underlying issues

• Develop, maintain, and improve automation tools

Preferred Qualifications:

Highly familiar with power-management techniques such as dynamic clock & power gating and dynamic voltage frequency scaling

Experience debugging hardware and software issues in an embedded system

Data analysis and visualization

Experience with performance monitor features

Experience with power measurements

Expertise with system and SoC architectures

Minimum Qualifications:

Minimum BS and 10+ years of relevant industry experience

Experience working with at least one of the following architectures: GPU or CPU

Experience with power and performance estimation and optimization

Experience working in a lab environment

Experience with Python:

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