- Location
- Beijing, Beijing,CN, CN
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Source
- Eightfold
Description
Design and prototype scalable software systems that optimize distributed AI training and inference—focusing on throughput, latency, and memory efficiency. Develop and evaluate enhancements to communication libraries such as NCCL, UCX, and UCC, tailored to the unique demands of deep learning workloads. Collaborate with AI framework teams (e.g., TensorFlow, PyTorch, JAX) to improve integration, performance, and reliability of communication backends. Contribute to the evolution of runtime systems, communication libraries, and AI-specific protocol layers. Collaborate with customers to understand their needs and provide innovative solutions for them. Experience with AI network parallelism using collective libraries and RDMA/RoCE.
Skills
Deep LearningTensorFlowPyTorch
