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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Solid 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.