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:

- 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