Job Description

Are you experienced with

large scale GPU infrastructure

deployments

? Do you thrive in a fast-paced, high-growth environment where your work has a direct impact on business outcomes? Are you ready to travel across EMEA to setup state of the art AI factories? If so, this could be the role for you!



Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility.



At Nscale, our Engineering team plays a critical role in driving the delivery of our GPU infrastructure. If you're passionate about datacenter architecture and thrive in high-performance computing environments, this role is for you!

Why Nscale?

We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you'll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you'll be contributing to building the technology that powers the future.

About the Role

As a DC Deployment Engineer you will be responsible for the installation of new physical deployments and will be engaged in the design and layout of large scale GPU infrastructure projects.

What You'll Be Doing

Delivering large scale datacenter deployments, making sure cutting-edge GPU infrastructure is optimised for performance and maintainability. Engineer complex rack layouts, integrating high-performance compute, networking and storage solutions. Hardware and software deployment and configuration in datacenter environments Installing and configuring physical servers and racks as well as the operating systems, virtualization platforms, and container orchestration systems Adhere to structured cabling and deployment standards, mapping out optimal cable pathways, lengths and streamlining installation. Configure critical network infrastructure, including initial firewall/router and switch setups to support high-performance computing environments.

About You

Skills & Experience

Overall datacentre engineering experience Advanced knowledge of Structured and Fibre Cabling Good experience with large scale datacenter deployments, particularly with GPU based infrastructure Advanced knowledge of AOC/DAC/optics and fibre interface standards. Strong working knowledge of network and server hardware. Experience working with BOMs to ensure compatibility and efficiency. Significant previous datacenter experience in deployment, design or operations. Familiarity with CMDB tooling such as NetBox.

Nice to have:

Working knowledge and experience of using Infiniband fabrics Working knowledge of fat tree or rail-optimised designs for AI workloads Ability to perform performance level diagnostics on AI fabric

Please Note: This role will require ~50%+ travel to our European sit

At this time, we are unable to offer visa sponsorship, so candidates must have the right to work in the UK. This may change as our hiring policies evolve.



We're currently working remotely, but plan to transition to a hybrid working model in 2025 as we look to secure a modern office space in London.

In all we do, our core values guide us;

Relentless Innovation

Ownership and Accountability

Openness and Transparency

Customer-Centric

Sustainability

Full-Speed Collaboration

Equal Opportunity

ties StatementAt Nscale, we are committed to fostering an inclusive, diverse, and equitable workplace. We welcome applications from individuals of all backgrounds, experiences, and perspectives. We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds.