LLM Pre-training & Distributed Engineer (AI Infrastructure)

We are seeking a highly skilled LLM Pre-training & Distributed Systems Engineer. This role is essential for orchestrating large-scale machine learning training runs and optimizing distributed infrastructure. The ideal candidate will have a deep understanding of GPU clusters and extensive experience in system engineering to ensure efficient and reliable training processes.

Responsibilities:

Orchestrate distributed training runs across 1,000+ GPUs using PyTorch, DeepSpeed, or Megatron-LM.

Optimize networking (InfiniBand/RDMA) and memory management to prevent out-of-memory errors.

Automate checkpointing and failure recovery during month-long training runs.

Required Skills:

Deep expertise in 3D parallelism (Data, Tensor, Pipeline).

Experience managing SLURM or Kubernetes-based GPU clusters.

Strong systems engineering background (C++, CUDA, Python).