- Tech Lead for the overall distributed ML enablement and performance on Meta's large-scale GPU training infra with a focus on GenerativeAI/LLM scaling
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- Proven C/C++ and Python programming skills
- Proven track record of leading successful projects
- Effective leadership and communication skills
- PhD in Computer Science, Computer Engineering, or relevant technical field
- Experience with collective communication library development (MPI/NCCL etc)
- Experience with NCCL and distributed GPU performance analysis on RoCE/Infiniband
- Experience working with DL frameworks like PyTorch, Caffe2 or TensorFlow
- Experience with both data parallel and model parallel training, such as Distributed Data Parallel, Fully Sharded Data Parallel (FSDP), Tensor Parallel, and Pipeline Parallel
- Experience in AI framework and trainer development on accelerating large-scale distributed deep learning models
- Experience in HPC and parallel computing
- Knowledge of GPU architectures and CUDA programming
- Knowledge of ML, deep learning and LLM
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