Experimentally explore new networking and computing technologies.
Translate cutting-edge networking and computing technologies into the HPC / AI solutions deployed in lab and customer data centers.
Communicate and collaborate with industry and academia developers to implement state-of-the-art networking and computing technology.
Integrate HPC / AI / Cloud / Storage infrastructure together with networking and computing technologies into a fully operational HPC-AI environment and test application best practice.
Contribute to the consultative design, validation, implementation and operation of RDMA-based in-network computing applications and clusters.
Familiar with C/C++, Python.
Have experience in HPC or AI or Storage.
Good English communication skills.
Experience in developing RDMA and GPU / In-Memory / parallel computing applications is a big plus.
Experience in using and developing AI frameworks, implementing and designing AI models is a big plus.
Experience with HPC / AI / Cloud / In-Memory Big Data infrastructure and architecture.
Experience with HPC/AI cluster management and application management.
Container and cloud skills (OpenStack, K8S, Docker, Singularity, etc.)
Computer architecture and Linux OS knowledge.
Ethernet knowledge and experience.