Act as NVIDIA AI Enterprise and vector DB expert for HyperPOD environments
Own end-to-end triage across GPU, NVAIE, Milvus, Kubernetes, Docker, and Infinia
Diagnose and resolve performance bottlenecks in RAG/agentic AI workflows
Collect logs/telemetry across Linux, containers, Kubernetes, GPU stack, storage/network
Author and maintain runbooks, diagnostics, and supportability assets

🎯 Requirements

5+ years Linux-based infra/SRE/MLOps or L2/L3 support
Hands-on Kubernetes/Docker, Helm, Operators
GPU workloads in production; NVIDIA GPUs, CUDA, GPU Operator
Experience with AI storage and HPC networking (EXAScaler, Lustre, Ceph; RDMA/InfiniBand)
Vector databases (Milvus, Qdrant, Pinecone, pgVector, etc.)
Understanding of RAG/Generative AI workflows and GPU inference

🎁 Benefits

Apply on employer's website

This employer gathers applications via their own applicant tracking system.

You will be redirected to an external application form.

Share job

Meet JobCopilot: Your Personal AI Job Hunter

Automatically Apply to Engineering Jobs. Just set your preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.

Activate JobCopilot