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Candidates need hands-on experience shipping AI/ML infrastructure, training and running large models on GPUs, and building GPU kernels. A Bachelor's, Master's or PhD in computer or software engineering or computer science is preferred.
Candidates need hands-on experience shipping LLMs on real hardware and writing GPU kernels that improved production performance. They also need experience building distributed AI infrastructure, plus a relevant bachelor's, master's or PhD in computer or software engineering or computer science.