Senior HPC Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 13d ago
The date the source published, not the day we noticed it (2026-10-19). Last seen at its source 1h ago.
We have tracked this listing since 19 Oct 2026 (13 days). The employer's own board has carried it every time we have read it, most recently 1 hour ago.
Is it remote?
The listing says yes
The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.
Who may apply?
Australia
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $91.9k–188.1k/yr
Middle 50% of 16 listings that do state pay — Engineering · all levels · Australia · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Greenhouse employer's own board first seen 13d ago · last seen 1h ago
The listing
ABOUT NEXGEN CLOUD
NexGen Cloud is a fast-growing GPU cloud and AI infrastructure business. We’re the company behind Hyperstack — a self-serve, on-demand cloud platform built for high-performance AI, HPC, and compute-heavy workloads. Powered by 100% renewable energy and NVIDIA architecture, Hyperstack gives teams from AI startups to enterprise the compute they need, without the cost or complexity of legacy cloud.
We move fast, solve hard problems, and build things that matter. If you want ownership, real impact, and a front-row seat to one of the most consequential infrastructure shifts of the decade — this is the place.
THE ROLE: HPC ENGINEER
We’re deploying more large-scale NVIDIA GPU clusters connected by InfiniBand, and the gap between a cluster that’s built and one that delivers its expected training performance is where customer experience is won or lost. We need an HPC Engineer to close that gap: validating and tuning clusters before handover, then owning the HPC layer in production. This is a UK-based remote role, reporting to the Head of Infrastructure.
This is a role for someone who won’t sign off a cluster that isn’t right, who follows a problem across GPUs, fabric, storage and software until it’s fixed rather than handing it off, and who is comfortable owning outcomes without heavy oversight.
WHAT YOU’LL BE DOING
Rather than a checklist, here’s what success in this role actually looks like:
- 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 closely 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 the parallel storage clusters depend on.
- Tune clusters for AI training and HPC workloads, from NCCL settings and GPUDirect RDMA to topology-aware scheduling and storage throughput.
- Build GPU, fabric and job-level monitoring that catches faults before customers notice, 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, repeatable 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.
ABOUT YOU
We care more about how you think and work than a perfect CV. You’ll likely bring a combination of the following:
Essential:
- 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.
Nice to Have:
- 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.
WHAT WE OFFER
- 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
WHY APPLY
We welcome applications from all backgrounds. If you enjoy solving complex infrastructure problems and want to build something meaningful at scale, we’d like to hear from you.
MORE INFORMATION
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