Senior Research Scientist
Full-time
ByteDance
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.
Vacancy posted 5 days ago
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