Server Engineer AI Cluster/GPU

Key Responsibilities

• Manage the full lifecycle of data center servers, including design, deployment, performance tuning, and validation, as well as the implementation, operation, and maintenance of HPC/AI clusters.
• Lead the deployment of heterogeneous computing resources such as GPUs and XPUs, optimize system performance and stability, and monitor and maintain server operations.
• Prepare technical documentation, provide customer support, and drive the development of automation scripts using Shell, Python, and Ansible.

Key Requirements

• At least 5 years of relevant experience, with hands-on expertise in building large-scale HPC clusters with thousands of GPUs, GPU hardware architecture, and parallel computing technologies such as MPI and OpenMP.
• Strong proficiency in virtualization and containerization technologies, with experience in HPL and NCCL benchmarking and high-performance file systems such as Lustre and GPFS.
• HPC-related certifications are preferred.
• Professional working proficiency in English.