Senior GPU Infrastructure / AI Install Engineer
Remote in LATAM
Noxx is hiring on behalf of another company
About the Role
Lead the hands-on bring-up of an enterprise, on-premises NVIDIA H200 (HGX 8-GPU SXM) environment built on HPE hardware with NVIDIA AI Enterprise.
You will take this deployment from physical rack-and-cable installation through firmware validation and cluster initialization to hand off a production-ready environment to the client's AI engineering team.
Responsibilities
Validate facility readiness (power, cooling/airflow, rack weight, network drops) and execute physical racking and cabling of HPE H200 nodes.
Flash and configure system firmware, BIOS/iLO, GPU VBIOS, NIC/HCA firmware, IOMMU, large-BAR, and performance profiles.
Install and optimize the Linux OS, NVIDIA data-center driver, CUDA toolkit, Fabric Manager (NVSwitch), and MOFED GPUDirect/RDMA stack for InfiniBand/RoCE.
Deploy container runtimes with NVIDIA Container Toolkit, Kubernetes, GPU Operator (and/or Base Command Manager), and configure Run:ai for workload scheduling and fractional-GPU sharing.
Conduct burn-in testing and cluster validation, including NVLink topology checks, DCGM diagnostics, NCCL multi-GPU/multi-node benchmarks,



and thermal/power soak tests.
Support initial NVIDIA Inference Microservice (NIM) model-serving deployments and deliver a documented, repeatable environment with operational runbooks.
Requirements
5+ years of hands-on experience deploying NVIDIA data-center GPUs (Hopper, H100/H200, HGX/SXM architectures).
Deep technical expertise with NVLink, NVSwitch, Fabric Manager, and high-speed fabrics (InfiniBand or RoCE).
Advanced Linux system administration skills (Ubuntu/RHEL), driver/kernel troubleshooting, and CUDA stack integration.
Hands-on containerization and Kubernetes orchestration experience using GPU Operator.
Proven ability to work independently in regulated enterprise environments with disciplined documentation habits.
Nice To Have
Experience with HPE server platforms, NVIDIA AI Enterprise, Base Command Manager, or Run:ai.
Familiarity with NIM inference serving engines and RAG pipeline architectures.
Prior experience operating within telecom or regulated/sovereign-cloud environments.
Willingness and ability to travel for extended on-site deployment rotations.
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📌 Senior Gpu Infrastructure / Ai Install Engineer (La Pampa)
🏢 Noxx
📍 La Pampa