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Your Mission:

  • To make our training of the best foundational models for source code generation in the world faster.

Responsibilities:

  • Profile large-scale training workloads and identify communication and computation bottlenecks
  • Custom kernel development to improve training performance
  • Collaborating with researchers to make novel research ideas scale efficiently

Skills & Experience:

  • Understanding of Large Language Models (LLM)
  • Knowledge of distributed training
  • Strong CUDA background/experience with GPU programming

Poolside

Poolside aims to be the company that builds a world where AI powers economically valuable work and scientific progress. Their team is a multidisciplinary blend of research, engineering, and business experts distributed across Europe and North America, fostering a culture of collaboration and hard work.

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