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Senior HPC Infrastructure Engineer

firmus - Sydney, Australia

Posted Feb 9, 2026

Benefits

Parental leave
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Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Engineering From the posting source checked Jun 20, 2026
Seniority
Senior From the posting source checked Jun 20, 2026

Schedule

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Weekend work
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Application

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Deadline
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About this role

Senior HPC Infrastructure Engineer Sydney, Australia Role Summary Firmus is seeking a highly skilled and driven Kubernetes HPC Engineer to join our Software Defined Infrastructure team. In this role, you will build high-performance, fault-tolerant, and reliable infrastructure to support bare-metal provisioning, performance benchmarking, and platform validation. You will be instrumental in ensuring the stability, performance, and continuous improvement of our complex and mission-critical bare-metal HPC GPU clusters. Key Responsibilities - Design and implement bare-metal provisioning workflows using Ironic and Kubernetes CRDs. - Deploy and manage GPU-enabled AI compute nodes with RDMA, InfiniBand, and RoCE networking. - Optimise Kubernetes and Slurm platforms for multi-node AI training performance, including NCCL, UCX, GPUDirect, and fabric tuning. - Implement Kubernetes primitives for GPU scheduling, isolation, and resource management models. - Design, deploy, and fine-tune Slurm GPU clusters with topology-aware configurations. - Develop and execute performance benchmarking workloads, including MLPerf, NCCL tests, microbenchmarks, and throughput/latency validation. - Establish observability across GPU, InfiniBand fabric, storage, and provisioning components. - Document architecture designs, operational procedures, and performance results. - Collaborate with L2 SRE engineers, site operations, and networking teams to ensure platform reliability, reproducibility, and performance. - Support hardware bring-up activities, including BIOS tuning, GPU topology verification, NUMA alignment, and PCIe/NVLink checks. - Contribute to continuous improvement in cluster validation, CI/CD automation, and provisioning and testing frameworks. - Contribute to the development of custom Kubernetes operators and intelligent orchestration frameworks that optimise AI workload performance for large-scale GPU cluster commissioning. Skills & Experience - Bachelor's or Master's

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