HPC Admin

Job Scope:

As an HPC Admin L3, you will be responsible for the provisioning, 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:

• Provision, configure, and maintain GPU Supercomputing clusters and associated networking configuration.
• Collaborate with NVIDIA Solution Architect & Engineering teams on large-scale GPU-as-a-service projects, both on-premises and in cloud deployments.
• 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 engineering 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)
• Proficiency 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.
• Good knowledge on Infiniband and other switches.
• 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 10 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.