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Highrise AI, a GPU-native infrastructure platform subsidiary of Hut 8 Corp., is seeking a Principal AI Infrastructure Engineer to lead the technical bring-up and optimization of large-scale GPU compute clusters from physical installation through production readiness and customer handoff.
You will own critical elements of cluster deployment, including bare-metal provisioning, advanced systems configuration, performance optimization, and acceptance testing. Working alongside senior infrastructure engineers, you will establish and validate system baselines across BIOS/BMC, firmware, GPU drivers, operating systems, and cluster software stacks. You will deploy and optimize automated bare-metal provisioning, imaging, node configuration, and lifecycle workflows at scale.
Key technical responsibilities include configuring and troubleshooting advanced Linux and GPU systems (kernel, driver, accelerator, and host-level performance settings), integrating and validating Kubernetes and Slurm environments in partnership with platform, networking, and operations engineers, and executing NVIDIA Field Diagnostics, L11/L12 validation, burn-in, stability, and hardware health qualification procedures.
You will run and analyze NCCL collective communication tests, GPU benchmarks, and distributed workload performance at node, rack, and cluster scale. Troubleshooting GPU, NVLink/NVSwitch, PCIe, RDMA, and InfiniBand/Ethernet performance issues will be part of your scope, partnering with network engineers on fabric-related remediation.
After deployment, you will provide Tier 3 technical escalation and sustained performance support for operating clusters, with focus on compute-platform readiness and workload performance rather than primary ownership of network switch and fabric configuration.
Highrise combines bare-metal performance with full-stack orchestration, API-driven access, and hardware-enforced isolation to support training, fine-tuning, and production-scale deployment of AI models. The company integrates disciplined operations, advanced automation, and on-site engineering expertise to sustain high uptime and predictable performance across deployments, including managed services operating third-party GPU hardware on behalf of customers and partners.
REQUIREMENTS:
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