AI Networking Software Engineer - GenAI/LLM Scaling

Meta; Bellevue (WA); On-site; USD 154,000 - 217,000; Full time

Job summary

Meta is seeking a Software Engineer for its AI Networking Software team in Bellevue, WA. You will help own and accelerate the NCCL-based stack that enables multi-GPU, multi-node communication for PyTorch and GenAI/LLM workloads.

The role emphasizes technical leadership, cross-functional collaboration, and advancing high-performance AI infrastructure within Meta’s distributed training ecosystem.

Qualifications

• Bachelor's degree in CS, CE, or equivalent
• Proven C/C++ and Python programming skills
• Proven track record of leading successful projects
• Experience leading cross-functional technical projects and communicating decisions to both technical and non-technical stakeholders
• Specialized experience in Distributed ML Training, GPU architecture, ML systems, AI infrastructure, HPC, or ML frameworks (e.g. PyTorch)

Responsibilities

• Provide technical leadership for the collective communication library development on Meta's large-scale GPU training infra with a focus on GenAI/LLM scaling

Skills

C/C++

Python

Technical leadership

Cross-functional communication

Distributed ML Training

GPU architecture

PyTorch

Education

Bachelor's degree in CS or related field

Tools

NCCL

CUDA

RoCE/Infiniband

Job description

Meta is seeking a Software Engineer for its AI Networking Software team in Bellevue, WA. You will help own and accelerate the NCCL-based stack that enables multi-GPU, multi-node communication for PyTorch and GenAI/LLM workloads.

The role emphasizes technical leadership, cross-functional collaboration, and advancing high-performance AI infrastructure within Meta’s distributed training ecosystem.