GPU Supercomputing Cluster Engineer

2 days ago


Bengaluru, Karnataka, India YOTTA INFRASTRUCTURE SOLUTIONS LLP Full time
Job Title: High-Performance Computing Administrator

We are seeking a highly skilled HPC Admin L3 to provision, manage, and maintain large-scale GPU Supercomputing clusters on NVIDIA reference architecture. The successful candidate will ensure optimal performance and uptime of these critical systems, supporting high-performance computing requirements.

Key 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).

Salary: $120,000 - $180,000 per year.

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