Network Infrastructure Engineer

Design, build and keep evolving the physical networks that connect the clusters in the Scaling Inference Lab (SIL). The SIL, backed by ARIA, is a neutral, UK-based testbed where new AI technologies (accelerators, memory systems and interconnects) are tested at rack scale against real workloads for the very first time. The results help UK startups, investors and public compute programmes decide what to build, fund and buy, and they build lasting UK capability in the infrastructure that AI depends on

The network is critical to every experiment and this role will own the cabling, switch layouts and topologies for the out-of-band, frontend and accelerator fabrics in our lab at Kao Data in Harlow, and in any further facilities we establish in the UK.

The SIL is an R&D facility and its requirements evolve rapidly. A new cluster might need a rail-optimised InfiniBand fabric, an 800G Ethernet frontend or an optical circuit-switched interconnect that has never been deployed at this scale. An older cluster might need re-cabling so its equipment can be reused in the next one. You will gather requirements from members, CommonAI staff and other key stakeholders to create flexible and resilient network designs.

In this role you will work closely with both technical staff and the project management team to provide the detailed designs that suppliers, cabling contractors and installers need.

• A collaborative and supportive work environment

• The opportunity to have a high impact in a growing organisation

• Competitive salary package, including pension and benefits

• Professional development opportunities

• Networking opportunities with influential figures from across the tech sector and academia

• A vibrant office environment located a few minutes' walk away from Cambridge train station

Working with us

This role is based in our Cambridge office with occasional travel to our lab in Kao Data, Harlow, particularly during builds and changes. Occasional travel to future sites elsewhere in the UK will be part of the role. Support is generally only required during UK business hours, although major installation work may occasionally be scheduled for evenings or weekends.

We are open to permanent, part-time or consultancy arrangements and would like you to start as soon as practical. While our preference is for staff to be based in our Cambridge office we will consider hybrid and fully remote applicants. We particularly welcome experienced engineers but will also consider earlier-career candidates with strong evidence of ability. Qualifications and vendor certifications are useful but secondary to experience and the quality of your work.

CommonAI CIC is an equal opportunity employer and is committed to creating an inclusive and diverse workplace.