Nscale

Nscale is the Hyperscaler engineered for AI, offering high-performance compute optimised for training, fine-tuning, and intensive workloads. From our data centres to software stack, we are vertically…

nscale.com

Nscale

nscale.com

HQGB

Team Size404

Open JobsUnknown

Total Funding$155M

Latest FundraiseUnknown

TL;DR

Core offering: GPU-first AI cloud and vertically integrated AI infrastructure (training, fine-tuning, inference)

Headquarters: United Kingdom (London)

Recent funding: Raised large rounds including $155M Series A, $1.1B Series B, $2.0B Series C

Scale: Builds large-scale GPU data centres and AI cloud platform across Europe and North America

Company Overview

Problem Domain

Scaling high-performance AI compute infrastructure for training, fine-tuning and inference workloads.

Industry

Technology, Information and Internet

Funding Track Record

Series A- Dec 2024

USD 155,000,000

Series B- 2025

USD 1,100,000,000

Pre-Series C SAFE

USD 433,000,000

SAFE financing following Series B with participation from Blue Owl Managed Funds, Dell, NVIDIA and Nokia

Series C- Mar 2026

USD 2,000,000,000

Announced valuation of USD 14.6 billion

Investor Signal

“Includes participation from institutional and strategic investors such as Aker ASA, Sandton Capital, Blue Owl, Dell, Fidelity, Nokia, NVIDIA, Point72 and asset managers including PIMCO”

Founders

What we do

Join the Team

Lab Services Engineer

On-SiteLondon, England, GB

On-Site • London, England, GB

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About Nscale 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 deployment and then

subsequent management of our infrastructure and software platforms.

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 Please note that this role will not require office presence, but rather presence within one of our labs and / or Datacenters. The Lab Services Engineer will support the day-to-day operation, maintenance, and readiness of

Nscale’s lab environments, ensuring development systems and infrastructure are well looked after

and available to support engineering and platform teams.

This role is hands-on and focused on the practical delivery of lab services, including hardware

deployment, lab organisation, troubleshooting, asset management, and environment readiness.

The Lab Services Engineer will help ensure that lab environments can support current and future

hardware requirements, including next-generation GPU infrastructure.

The role will also support the use of internal automation and tooling to bring up, validate, and

manage clusters in development environments. Working closely with senior engineers and

cross-functional teams, this person will help maintain high standards across the lab while

contributing to improvements in reliability, efficiency, and operational consistency.

What You'll Be Doing (Responsibilities)

About You

What We Can Offer You At Nscale, you'll find a collaborative, supportive, and innovative environment where your contributions spark real impact. We're building something extraordinary, and we want you at the core.

Highly competitive package (base + equity) with reviews every 12 months. 🚀
Join the fastest-growing tech startup, your chance to push boundaries, collaborate with brilliant minds, and make your mark on cutting-edge AI. ✨
Expect a dynamic progression plan tailored to your ambitions. Grow by trying new things, leading, challenging the status quo, and owning your impact, always with our full support.
Human-First Flexibility: We treat you as humans first. 🫶🏽 Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life's moments.

Join our thriving remote-first team. Geography is no barrier to impact or connection. We build seamless virtual collaboration, empowering you, wherever you work. Equal Opportunities Statement 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.

If there’s anything we can do to accommodate your specific situation, please let us know.

The responsibilities outlined in this job description are not exhaustive and are intended to provide a general overview of the position. The employee may be required to perform additional duties, tasks, and responsibilities as assigned by management, consistent with the skills and qualifications required for the role.

If there’s anything we can do to accommodate your specific situation, please let us know.

The responsibilities outlined in this job description are not exhaustive and are intended to

provide a general overview of the position. The employee may be required to perform additional

duties, tasks, and responsibilities as assigned by management, consistent with the skills and

Qualifications Required For The Role. For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here.

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Support the day-to-day running of lab environments to ensure they are organised, operational, and ready for use.

Install, rack, cable, configure, and maintain lab hardware, including servers, networking equipment, and supporting infrastructure.

Assist with hardware bring-up, diagnostics, validation, and replacement activities.

Monitor and maintain lab conditions and physical requirements, including power usage, cooling considerations, cabling, and space utilisation.

Support asset tracking, stock control, equipment handling, and hardware lifecycle processes.

Use internal automation and tooling to help provision, validate, and manage lab-based clusters and development environments.

Help dogfood cluster lifecycle and infrastructure tooling by using it in operational scenarios and feeding back issues or improvement opportunities.

Troubleshoot lab-related hardware, networking, and environment issues and escalate where appropriate.

Maintain lab documentation, inventories, setup guides, and operational runbooks.

Follow defined standards for safety, security, change control, and lab access.

Work closely with engineering, platform, and infrastructure teams to support development and test requirements.

Contribute to continuous improvement of lab processes, tooling, and operational practices.

Good practical understanding of server hardware, networking, cabling, and general infrastructure operations.

Familiarity with GPU-based systems or a strong interest in learning the operational requirements of next-generation GPU infrastructure.

Hands-on approach to troubleshooting hardware and infrastructure issues.

Good organisational skills and attention to detail, particularly in physical environments and asset handling.

Ability to follow operational processes and maintain accurate records and documentation.

Good communication skills and the ability to work effectively with technical teams.

Willingness to learn and use infrastructure automation, provisioning, and cluster management tooling.

Basic knowledge of Linux systems, networking concepts, and infrastructure operations would be beneficial.

A proactive and reliable approach to supporting shared technical environments.

Experience working in a lab, data centre, hardware operations, IT infrastructure, or similar hands-on technical environment.

Experience installing and supporting server or networking equipment.

Experience with hardware diagnostics, replacements, and physical deployment activities.

Experience supporting development, test, or pre-production environments is desirable.

Exposure to automation, provisioning tools, or infrastructure management workflows would be beneficial.

Experience with GPU infrastructure, HPC, or large-scale compute environments would be advantageous, but is not essential if backed by strong relevant infrastructure experience.