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Senior Research Scientist

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Senior Research Scientist in USA

  • ByteDance
  • Full time
  • Email
  • San Jose, CA

Responsibilities

  • Develop and optimize LLM inference frameworks.
  • Optimize GPU and CUDA performance to create a high-performance LLM inference engine.
  • Build and maintain large-scale, heterogeneous, distributed ML systems integrating GPU, NPU, RDMA, and storage technologies.
  • Perform performance analysis and optimization for reliable, scalable ML training and inference services.

Requirements

  • Bachelor’s degree or above in computer, electronics, automation, software, or a related field.
  • Proficiency in C/C++ and algorithms and data structures, with familiarity with Python.
  • Understanding of deep learning algorithms and neural network architecture.
  • Familiarity with deep learning training frameworks such as PyTorch.
  • Preferred: proficiency in CUDA-based GPU high-performance computing optimization, computer architecture, parallel computing optimization, memory access optimization, and low-bit computing.
  • Preferred: familiarity with TensorRT-LLM, ORCA, and vLLM.
  • Preferred: knowledge of LLM models and experience accelerating LLM model optimization.

ByteDance

ByteDance is a global incubator of platforms at the cutting edge of commerce, content, entertainment and enterprise services - over 2.5bn people interact with ByteDance products including TikTok. Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This...

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