LLM Pre-training & Distributed Engineer (AI Infrastructure)

Hyphen Connect; Seattle (WA); On-site; USD 120,000 - 160,000; Full time

Job summary

Hyphen Connect is looking for an experienced LLM Pre-training & Distributed Systems Engineer in Seattle, USA. This role involves orchestrating large-scale machine learning training runs across 1,000+ GPUs, optimizing distributed infrastructure, and ensuring efficient training processes. The ideal candidate should possess deep expertise in 3D parallelism and a strong systems engineering background with C++, CUDA, and Python. Join us to push the boundaries of machine learning infrastructure.

Qualifications

• Deep expertise in 3D parallelism required.
• Strong background in systems engineering with C++, CUDA, and Python.

Responsibilities

• Orchestrate distributed training runs across 1,000+ GPUs using PyTorch, DeepSpeed, or Megatron-LM.
• Optimize networking (InfiniBand/RDMA) and memory management.
• Automate checkpointing and failure recovery for long training runs.

Skills

3D parallelism (Data, Tensor, Pipeline)

Systems engineering (C++, CUDA, Python)

Job description

Seattle, USA

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