HPC L3

Job Scope: As an HPC Admin , you will be responsible for the management and maintenance of GPU Supercomputing clusters on NVIDIA reference architecture. You will ensure optimal performance and uptime of these critical systems, supporting high-performance computing (HPC) requirements. Job Responsibilities: Configure, and maintain GPU Supercomputing clusters and associated networking configuration. Implement and optimize software stacks including MaaS (metal-as-a-service), Job Scheduler (SLURM/PBS), Cloud Orchestration (Kubernetes), and Network Management (NetQ for Ethernet fabric and UFM for InfiniBand). Conduct performance activities such as debugging, profiling, benchmarking, and tuning of GPU applications on large-scale supercomputing clusters. Run benchmarking applications from widely used platforms such as MLPerf Training & Inference, AI Training (PyTorch, TensorFlow, NeMo, Megatron-LM), and AI Inference (TensorRT-LLM, Triton Inference Server, vLLM). Must-Have Skill: Hands-on experience with NVIDIA GPU, particularly NVIDIA Data Centre GPUs (A100/H100) Experience in provisioning and managing software stacks like MaaS, Job Scheduler (SLURM/PBS), Cloud Orchestration (Kubernetes), and Network Management (NetQ for Ethernet fabric and UFM for InfiniBand). Prior experience collaborating with NVIDIA Solution Architect & Engineering teams on large-scale GPU-as-a-service projects. Familiarity with benchmarking applications from widely used platforms and frameworks, including MLPerf, PyTorch, TensorFlow, NeMo, Megatron-LM, TensorRT-LLM, Triton Inference Server, and vLLM. Experience in performance engineering, including debugging, profiling, benchmarking, and tuning various GPU applications on large-scale supercomputing clusters. Good to Have Skill: Knowledge of other HPC technologies and architectures beyond NVIDIA, broadening expertise in the field. Experience with other cloud platforms and orchestration tools, expanding versatility in deployment environments. Strong problem-solving and troubleshooting abilities, enabling quick resolution of complex technical issues. Excellent communication and collaboration skills to work effectively within cross-functional teams and with external partners. Behavioral Attributes: Strong problem-solving skills with a proactive and solution-oriented approach. Excellent communication and collaboration skills for effective customer support. Adaptability to handle a dynamic and fast-paced cloud administration environment. Commitment to security best practices and continuous improvement. Qualification and Experience: Bachelor's degree in engineering, or equivalent. Minimum 5 + years experience in IT, 5+ years of relevant experience in HPC engineering roles, with a focus on NVIDIA GPU and Networking Technologies. Demonstrated success in deploying and managing large-scale GPU Supercomputing clusters, preferably in collaboration with NVIDIA teams. Proven track record of performance engineering activities and optimizing GPU applications for high-performance computing workloads.