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What you'll be doing:
Develop analysis tools and methodologies to measure key performance metrics and to estimate potential for efficiency improvement.
What we need to see:
Ways to stand out from the crowd:
Background with system software, Operating system intrinsics, GPU kernels (CUDA), or DL Frameworks (PyTorch, TensorFlow).
Experience with silicon performance monitoring or profiling tools (e.g. perf, gprof, nvidia-smi, dcgm).
In depth performance modeling experience in any one of CPU, GPU, Memory or Network Architecture
Exposure to Containerization Platforms (docker) and Datacenter Workload Managers (slurm).
Prior experience with multi-site teams or multi-functional teams.
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