[Hiring] HPC Engineer @NexGen Cloud

Role Description

We’re hiring an HPC Engineer to close the gap between a cluster that’s built and one that delivers its expected training performance. This role involves:

• Owning cluster validation before handover: running burn-in, health checks, and benchmarks against agreed acceptance criteria.
• Collaborating closely with Deployment Solution Architects, Network Engineers, Validation and Support teams, and with NVIDIA and OEMs on hardware faults and RMAs.
• Running production HPC clusters day to day, including Slurm, GPU drivers, CUDA stack, InfiniBand fabrics, and parallel storage clusters.
• Tuning clusters for AI training and HPC workloads, from NCCL settings and GPUDirect RDMA to topology-aware scheduling and storage throughput.
• Building GPU, fabric, and job-level monitoring that catches faults before customers notice, and leading incident response.
• Automating provisioning, configuration, and validation with infrastructure-as-code, creating a standard validation suite for each GPU platform and fabric type.
• Turning incident learning into automated checks, runbooks, and documentation, and feeding insights back into cluster design and deployment.

Qualifications

• 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 performance for distributed workloads using NCCL tests, HPL, or similar.
• Strong Linux systems administration skills, including OS-level networking and storage, plus infrastructure automation and Git-based workflows.

Requirements

• Experience with large NVIDIA platforms such as HGX H100/H200/B200 or GB200 rack-scale systems, NVIDIA UFM, and GPUDirect RDMA.
• Familiarity with parallel file systems such as WEKA, VAST, DDN/Lustre, or GPFS.
• Experience running GPU workloads on Kubernetes, or integrating HPC clusters with Kubernetes or OpenStack.
• A background supporting AI/ML training, MPI-based HPC applications, or contributions to open-source HPC 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.