CuspAI is seeking a performance engineer to optimize large AI training on GPU clusters. You will profile workloads, tune CUDA/Triton kernels, and optimize inter-node communication while building dashboards to show hardware efficiency.
The role suits someone with hands-on HPC experience, comfortable working in a young company, and eager to directly influence AI research throughput and cost efficiency.
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