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About the role
Work across multiple layers of the AI software stack (abstractions, programming models, compilers, runtimes, libraries, and APIs) to enable large-scale model training and inference. Debug, profile, and optimize performance for training/inference workloads on Central Processing Units (CPUs)/Graphics Processing Units (GPUs). Monitor performance regressions and drive continuous improvements to reduce time-to-deploy and hardware footprint.
More about this role
Work across multiple layers of the AI software stack (abstractions, programming models, compilers, runtimes, libraries, and APIs) to enable large-scale model training and inference. Debug, profile, and optimize performance for training/inference workloads on Central Processing Units (CPUs)/Graphics Processing Units (GPUs). Monitor performance regressions and drive continuous improvements to reduce time-to-deploy and hardware footprint. Collaborate across teams of researchers and engineers to deliver scalable, production-ready AI performance improvements Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C++, or Python OR equivalent experience. Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C++, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C++, or Python OR equivalent experience. 4+ years' practical experience working...
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