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# AI Infrastructure Engineer

- **Company:** NVIDIA Ltd.
- **Location:** United States (Remote available)
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Application Lifecycle Management, Wavelength-Division Multiplexing, Data Centers, Ethernet, Firmware, InfiniBand, Internet Protocol, Node.Js, AI Infrastructure, Computer Network Technologies, Kubernetes, Slurm, Machine Learning Operations, Hardware Infrastructure
- **Published:** October 6, 2026
- **Apply:** https://www.thejobnetwork.com/job/ef9f5a3b-6f36-42e7-a968-fbbe8b26ffb1/artificial-intelligence-engineer

## About the Role

* Hands-on experience supporting NVIDIA InfiniBand, preferably the Quantum series, within an HPC or GPU cluster environment.
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 * Experience with high-speed Ethernet switching in a multi-node GPU environment.
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 * Familiarity with NVIDIA HGX architecture and rail-aligned GPU networking topologies.
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 * Experience using NCCL, HPL, or comparable tools to validate GPU cluster health, connectivity, and performance.
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 * Working knowledge of the NVIDIA GPU Operator, GPU driver and firmware lifecycle management, and compatibility planning.
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 * Experience deploying and supporting container-based workloads in an HPC or AI environment.
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 * Experience with at least one workload orchestration platform, such as Slurm, Run, or an equivalent scheduler.
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 * Strong knowledge of large-scale IP networking and datacenter peering/interconnect technologies.
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 * Experience working within structured change-management and production operations processes.
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 * Ability to troubleshoot across physical infrastructure, network fabric, operating systems, containers, orchestration platforms, and application workloads.
\n, * Experience administering NVIDIA UFM, NetQ, or equivalent InfiniBand fabric-management tools.
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 * Experience with new GPU cluster bring-up or greenfield AI infrastructure deployments.
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 * Exposure to MLOps pipelines, production AI workloads, and model-serving infrastructure.
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 * Familiarity with DWDM and wave circuit technologies in a datacenter interconnect environment.
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 * Experience supporting enterprise GPU infrastructure in a regulated or highly controlled environment.
\n, The strongest candidate will combine deep GPU-cluster networking knowledge with practical platform engineering experience. They should be comfortable moving between InfiniBand troubleshooting, Ethernet and datacenter operations, GPU software lifecycle management, workload scheduling, and production AI enablement.