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:
Build and manage large-scale NVIDIA GPU clusters.
Configure GPU resources, scheduling, and workload management.
Optimize GPU performance, utilization, and system reliability.
Troubleshoot GPU, CUDA, networking, and infrastructure issues.
Manage system monitoring, maintenance, and incident resolution.
Required Skills:
Hands-on experience with NVIDIA GPU infrastructure and HPC clusters.
Solid expertise in CUDA, MIG, vGPU, and NCCL/UCX.
Experience with NVIDIA H100/B-series GPUs.
Experience with Slurm and/or Kubernetes.
GPU performance tuning and troubleshooting.
Qualifications:
BE/B.Tech in Computer Science, Electronics & Communication, or equivalent.
7–15 years of relevant experience in HPC/AI GPU infrastructure.
📌 Nvidia Gpu Infrastructure Engineer / Hpc Engineer Chennai
🏢 Consultbae India
📍 Chennai
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.