In this role, you will be part of the AI Networking Software team within the larger DC networking organization at Meta. The team focuses on developing the software stack around NCCL, which facilitates multi-GPU and multi-node data communication for distributed training. Your work will contribute to enhancing the reliability and performance of large-scale ML workloads, particularly in the context of GenAI and LLM scaling. You will be involved in building customized features and performance optimizations to improve the distributed ML training experience.

• Specialized experience in high speed networking, distributed ML training, GPU architecture, ML systems, AI infrastructure, high performance computing, performance optimizations, or machine learning frameworks like PyTorch.
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.

• Enable reliable and highly scalable distributed ML training on Meta's large-scale GPU training infrastructure with a focus on GenAI and LLM scaling.

• Employees at Meta are often offered comprehensive benefits, including medical/dental/vision coverage, mental-health resources, family planning support (fertility, adoption, surrogacy), and caregiving programs. Financial benefits typically include a competitive retirement plan, equity awards, life insurance, and access to financial coaching and legal support. Time-off benefits commonly feature generous PTO and holidays, unlimited sick time, various paid leaves, flexible “Global Travel Days,” and a 30-day paid break every five years.