---
title: 'Senior HPC Engineer at NexGen Cloud'
canonical: 'https://feeny.ai/job/senior-hpc-engineer-nexgen-cloud-australia-22nzp0bvzv03'
type: 'job'
last_seen: '2026-11-05'
---

# Senior HPC Engineer at NexGen Cloud

- **Company:** NexGen Cloud
- **Location:** Australia
- **Work type:** remote
- **Posted:** 2026-10-19
- **Last confirmed live:** 2026-11-05
- **Apply:** https://job-boards.eu.greenhouse.io/nexgencloud/jobs/5008416101

## Job description

## 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

Visit our [careers page](https://www.nexgencloud.com/careers) to learn more about us or follow us on [LinkedIn](https://www.linkedin.com/company/nexgen-cloud) and [X](https://x.com/CloudNexgen) to learn more about our journey and keep up with our latest news and releases.

## About NexGen Cloud

## Company Overview
- **One-liner**: NexGen Cloud is a UK-based full-stack AI cloud platform that provides sustainable, high-performance GPU infrastructure and cloud services for AI enterprises and practitioners.
- **Entity Type**: Private (funding stage not publicly disclosed; operates as a venture-backed growth company)
- **Headquarters**: London, United Kingdom (with additional office in Marbella, Spain)
- **Founded**: 2020
- **Founders**: Chris Starkey (CEO & Co-Founder), Youlian Tzanev (CSO & Co-Founder)

## Core Business
- **Primary industry**: AI Cloud Infrastructure / GPU-as-a-Service (GPUaaS)
- **Target customers**: B2B – AI enterprises, research labs, startups, and government entities needing scalable, sovereign AI compute (e.g., model training, inference)
- **Mission / Purpose**: To provide sustainable, sovereign, and accessible AI cloud solutions that enable innovation while maintaining data privacy and environmental responsibility.

## Products & Services
- **Hyperstack**: A self-serve GPU-as-a-Service platform offering instant, on-demand access to NVIDIA GPUs, one-click Kubernetes deployments, and pay-as-you-go pricing (SaaS / IaaS).
- **Secure Private Cloud**: Single-tenant, fully customised high-performance computing environments with state-of-the-art NVIDIA hardware (e.g., HGX B300, GB300 NVL72) and managed Kubernetes for enterprise workloads (IaaS / Managed Service).
- **InfraHub Compute**: A hardware sourcing, financing, and deployment service that builds the physical compute stack (NVIDIA GPUs, AMD processors, Supermicro platforms) for enterprise AI infrastructure (Hardware + Service).
- **Hybrid Cloud Integration**: Migration support and integration with external hybrid/multi-cloud environments for seamless workload portability (Service).

## Market Standing
- **Valuation / Market Cap**: Not publicly disclosed
- **Key Metric**: Not publicly available (private company; no revenue or funding figures in disclosed materials)
- **Notable Investors / Partners**: NVIDIA Cloud Partner (active collaboration on Secure Private Cloud deployments)
- **Growth Signals**:
  - Data centre deployments across Europe (Norway, Sweden), Canada, and the US (multiple sites in Norway, Canada, and a US presence)
  - SOC 2 Type 1 certified (audited by a licensed CPA firm)
  - Actively hiring across multiple roles (10+ open positions as of July 2026)
  - Expanding product suite with InfraHub Compute and hybrid cloud offerings

## Competitive Advantages
- **EU Sovereignty & Data Protection**: Infrastructure located in Europe and Canada, ensuring compliance with EU data regulations (“non-compliant with US regulations”)
- **Sustainability**: Majority of owned infrastructure hosted in data centres powered by 100% renewable energy
- **Full-Stack Expertise**: Controls the entire stack from hardware sourcing (InfraHub) to managed private cloud and self-serve GPUaaS, enabling customisation and cost optimisation
- **NVIDIA Partnership**: Direct access to cutting-edge NVIDIA hardware and engineering support for large-scale AI deployments
- **Enterprise-Grade Security**: SOC 2 Type 1 certification and enterprise-grade data protection controls

## Strategic Focus
- **Scaling sovereign AI infrastructure** across Europe and North America
- **Deepening the NVIDIA partnership** to deploy next-generation GPU clusters (e.g., NVIDIA GB300 NVL72 with liquid cooling)
- **Expanding the Hyperstack self-serve platform** to attract a broader developer and startup audience
- **Growing the Secure Private Cloud business** for large enterprises and government institutions

## Why Work Here
- **Culture**: Fast-paced, innovation-driven environment with an “open-door” policy; emphasis on collaboration, creativity, and taking initiative. The company describes itself as a “vibrant community driving a cloud revolution.”
- **Work Model**: Hybrid/remote depending on the role; offices in London and Marbella, with remote positions available
- **Onboarding**: Structured programme with an onboarding buddy, hands-on training, and intro sessions with HR and key team members
- **Professional Development**: Regular performance evaluations that identify strengths and growth areas; support for career advancement
- **Perks**: Not explicitly listed, but the culture page highlights a people-first approach, team celebrations, and a commitment to employee empowerment
- **Teams**: Engineering (HPC, MLOps, Software), Sales, RevOps, Finance, HR/Talent, Administration – high-growth org with diverse functions

## Sources
1. [nexgencloud.com - About](https://www.nexgencloud.com/about)
2. [nexgencloud.com - Home](https://www.nexgencloud.com/)
3. [nexgencloud.com - Careers](https://www.nexgencloud.com/careers)
4. [LinkedIn - NexGen Cloud](https://uk.linkedin.com/company/nexgencloud)
5. [CB Insights - NexGen Cloud](https://www.cbinsights.com/company/nexgen-cloud)

## Other roles at NexGen Cloud

- [Product Manager](https://feeny.ai/job/product-manager-nexgen-cloud-london-mc8xfc3f7pm9) — London, United Kingdom
- [IT Support Engineer](https://feeny.ai/job/it-support-engineer-nexgen-cloud-london-05dgw257r7ba) — London, United Kingdom
- [Technical Architect](https://feeny.ai/job/technical-architect-nexgen-cloud-london-634sccq2v3ca) — London, United Kingdom
- [Datacentre Deployment Lead](https://feeny.ai/job/datacentre-deployment-lead-nexgen-cloud-united-kingdom-8wsd55wppkvr) — United Kingdom
- [Infrastructure Operations Engineer](https://feeny.ai/job/infrastructure-operations-engineer-nexgen-cloud-finland-h7pt7ecmbg8h) — Finland
- [Data Analyst](https://feeny.ai/job/data-analyst-nexgen-cloud-london-31gw52j1ava2) — London, United Kingdom
- [Network Deployment Engineer](https://feeny.ai/job/network-deployment-engineer-nexgen-cloud-london-w81ds406v2c0) — London, United Kingdom
- [Infrastructure Operations Engineer](https://feeny.ai/job/infrastructure-operations-engineer-nexgen-cloud-quebec-txqk957x1eqd) — Quebec, Canada
- [Strategic Finance / FP&A Manager](https://feeny.ai/job/strategic-finance-fp-a-manager-nexgen-cloud-london-3v93m3bvyrs6) — London, United Kingdom
- [Senior Management Accountant](https://feeny.ai/job/senior-management-accountant-nexgen-cloud-london-yda0stjawh9x) — London, United Kingdom