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Reka

Member of Technical Staff (GPU Performance Engineer)

Reka
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6 months ago
Remote, Worldwide +3 moreMid Level / Senior
H1B Sponsor

Responsibilities

  • Design and implement improvements to training infrastructure.
  • Optimize performance of models through technical decision-making.
  • Work on post-training processes including reinforcement learning and fine-tuning.
  • Enhance efficiency and scalability of model serving infrastructure.

Requirements

  • Strong engineering skills with fluency in Python and PyTorch (or other frameworks).
  • Proven experience implementing and training large deep learning models.
  • Experience writing and debugging low-level GPU code (CUDA, C++).
  • Experience scaling up GPU jobs using large-scale compute clusters (e.g., Slurm or Kubernetes).
  • Demonstrated ability to analyze and optimize performance of GPU-accelerated workloads.

Benefits

  • Five weeks of paid leave to recharge.
  • Comprehensive healthcare benefits including vision and dental.
  • Inclusive and open work culture that values diverse perspectives.
  • Visa assistance for US employees including H1B and OPT transfers.

Categories

AI & MLBackendData Science