NVIDIA GPU Infrastructure Engineer / HPC Engineer

Job Summary:

We are looking for an experienced NVIDIA GPU Infrastructure Engineer to build, manage, and optimize large-scale GPU clusters supporting AI/ML training and inference workloads.

Key Responsibilities:

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  Build and manage large-scale NVIDIA GPU clusters.

  
  


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  Configure GPU resources, scheduling, and workload management.

  
  


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  Optimize GPU performance, utilization, and system reliability.

  
  


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  Troubleshoot GPU, CUDA, networking, and infrastructure issues.

  
  


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  Manage system monitoring, maintenance, and incident resolution.

  
  

Required Skills:

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  Hands-on experience with NVIDIA GPU infrastructure and HPC clusters.

  
  


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  Strong expertise in CUDA, MIG, vGPU, and NCCL/UCX.

  
  


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  Experience with NVIDIA H100/B-series GPUs.

  
  


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  Experience with Slurm and/or Kubernetes.

  
  


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  GPU performance tuning and troubleshooting.

  
  

Qualifications:

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  BE/B.Tech in Computer Science, Electronics & Communication, or equivalent.

  
  


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  7–15 years of relevant experience in HPC/AI GPU infrastructure.