Senior HPC Engineer

🔥 54 minutes ago

🇦🇺 Australia – Remote

⏰ Full Time

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 10%

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NexGen Cloud

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

💼 Consulting

📦 Logistics

🏭 Manufacturing

Consulting • Logistics • Manufacturing

NexGen Cloud is a provider of large-scale, sovereign and sustainable AI cloud infrastructure and GPU-as-a-service. It offers the AI Supercloud and Hyperstack platforms with on-demand NVIDIA HGX/H100/GB200 GPUs, managed Kubernetes, custom hardware/software configurations, and consulting and R&D partnerships through NexGen Labs to support enterprise training of foundational models and GenAI workloads. The company focuses on scalable, hybrid and sovereign deployments in Europe and North America and provides POCs, onboarding, and ongoing support.

📋 Description

• Own cluster performance from acceptance to production, running burn-in, health checks and NCCL, HPL and storage benchmarks against agreed criteria, and resolving underperformance before a cluster reaches the customer • Collaborate with Deployment Solution Architects, Network Engineers, Validation, Customer Support and vendors including NVIDIA and OEMs to resolve issues quickly and feed production learning back into design • Run the production HPC layer day to day: Slurm, GPU drivers and the CUDA stack, InfiniBand fabrics (subnet management, monitoring, firmware) and parallel storage • Tune clusters for AI training and HPC workloads, including NCCL settings, GPUDirect RDMA, topology-aware scheduling and storage throughput • Build GPU, fabric and job-level monitoring and lead incident response from Xid errors and fabric degradation through to root cause • Automate provisioning, configuration and validation with infrastructure-as-code and Git-based workflows, building a standard validation suite for each GPU platform and fabric type • Turn incident learning into automated checks, runbooks and lasting fixes, and become the go-to engineer for HPC and InfiniBand across the business

🎯 Requirements

• Hands-on experience operating NVIDIA GPU infrastructure at scale, including drivers, CUDA, DCGM and diagnosing GPU hardware faults • Proven experience running production HPC clusters with a workload manager such as Slurm • Strong practical InfiniBand experience, including subnet management, RDMA, fabric monitoring and fault-finding • Experience benchmarking and tuning distributed workloads with tools such as NCCL tests or HPL • Strong Linux systems administration skills, including OS-level networking and storage, plus infrastructure automation and Git-based workflows • Experience with HGX H100/H200/B200 or GB200 rack-scale systems, NVIDIA UFM, GPUDirect RDMA and topology-aware scheduling • Experience with parallel file systems such as WEKA, VAST, DDN/Lustre or GPFS, or running GPU workloads on Kubernetes or alongside OpenStack • A background supporting AI/ML training, MPI-based HPC applications or research computing, or contributions to open-source HPC or infrastructure projects

🏖️ Benefits

• Competitive salary and annual discretionary bonus scheme • Employee wellbeing benefits • 25 days holiday, plus public holidays • Private Medical Insurance • Enhanced Pension Scheme • Flexible working arrangements (remote or hybrid, depending on role and location) • Real ownership and autonomy — the trust to take initiative and experiment • Visible, meaningful impact as we scale • Clear career progression in a high-growth company • A collaborative, international culture built on trust, transparency, and ownership • The chance to help shape NexGen Cloud’s team, culture, and future

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