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What you will be doing:
Develop GPU architecture improvements, optimizing along the axes of performance, power efficiency, complexity, area, effort, and schedule.
Understand future workloads for GPUs and architect solutions that help optimize these future workloads on our GPUs.
Develop and enhance performance analysis infrastructure, including performance simulators, testbench components and analysis tools, to evaluate different architecture options.
Implementing and maintaining high-level functional and performance models. Analyzing application workloads and performance simulation results to identify areas for architecture improvements
Defining and performing experiments to study architectural features, presenting experiment results to larger groups and proposing mechanisms for improvements.
Document decisions in a system architecture specification, working with multi-functional teams in the organization including ASIC design, software, and VLSI to explore architecture trade-offs, define overall solutions and tracking development progress.
What we need to see:
Master degree or equivalent experience in Electrical Engineering, Computer Science, Computer Engineering or related field.
6+ years of meaningful work experience in GPU or CPU Architecture.
Strong communication and interpersonal skills are required along with the ability to work in a dynamic, product oriented, distributed team.
Experience with GPU architecture and graphics pipeline, memory subsystem, Network-on-Chip (NoC)/Interconnect and/or off-chip IO.
You will also be eligible for equity and .
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