AI Models GPU deployment software Engineer
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The role
Develop and optimize AI models (LLMs, Vision, MultiModal) on GPUs to boost training and inference performance.
Enhance AI frameworks like PyTorch and TensorFlow in upstream repositories and collaborate with framework maintainers.
Optimize GPU kernels and AI operators (GEMM, Attention) and drive performance on scale-up (multi-GPU) and scale-out (multi-node) systems.
Work in a Linux environment using C++ and Python, applying software engineering best practices, debugging, testing, and performance analysis.
Partner with internal GPU library teams and contribute to open-source initiatives to ensure upstream integration.
Combine independent ownership with collaborative teamwork to deliver robust, scalable, and maintainable code.
Enhance AI frameworks like PyTorch and TensorFlow in upstream repositories and collaborate with framework maintainers.
Optimize GPU kernels and AI operators (GEMM, Attention) and drive performance on scale-up (multi-GPU) and scale-out (multi-node) systems.
Work in a Linux environment using C++ and Python, applying software engineering best practices, debugging, testing, and performance analysis.
Partner with internal GPU library teams and contribute to open-source initiatives to ensure upstream integration.
Combine independent ownership with collaborative teamwork to deliver robust, scalable, and maintainable code.
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