Edge Compute Lead (Platforms)

Own the engineering hardware estate: specify, procure, configure and maintain compute, HPC, GPU, storage and networking hardware across its full life, from selection to retirement.

Lead on edge hardware: evaluate and integrate small form factor compute so that our systems perform wherever they are deployed.

Build reference systems: create and maintain representative engineering systems and test capabilities that teams can rely on for integration, test & evaluation.

Align hardware with software: work with the Platforms team so that firmware, drivers, interconnect and accelerator choices support the operating system and application layers above.

Advise project teams: recommend platforms, publish known-good configurations, and help engineers reach the right hardware decision quickly.

Set the standard: define and hold sensible standardisation, documentation and configuration baselines, so kit is supportable and reproducible rather than bespoke to one project.

Keep things performant and available: benchmark, monitor and plan capacity, resolve faults, and manage spares, warranties and refresh cycles.

Managing suppliers: build relationships with vendors and integrators, test claims against real workloads, and get good value from specialist purchases.

Hands-on experience specifying, building and running compute hardware for engineering, research, or laboratory use.

Practical knowledge of GPU and accelerated computing, including how memory, interconnect and thermal limits shape real workload performance.

Experience with embedded or ruggedised compute platforms under size, weight and power constraints.

Strong Linux fundamentals, including firmware, drivers, provisioning and troubleshooting close to the metal.

Working knowledge of networking and storage sufficient to design and debug systems end to end.

A track record of turning an ad hoc collection of kit into a standardised, documented, supportable estate.

Experience procuring specialist hardware and holding suppliers to account on lead times, support and performance.

Experience with edge AI modules, CUDA, and the surrounding driver and container stack.

Familiarity with bare-metal provisioning.

Background in defence, aerospace, motorsport, scientific computing or another sector with demanding hardware requirements.

You are genuinely interested in technology and in what it lets the end user do, not in the specification sheet for its own sake.

You enjoy being the person others ask, and you give a straight answer with the reasoning behind it.

You test claims rather than accept them, and you are comfortable saying when a shiny option is the wrong one.

You are happy with your hands on the kit, and equally happy writing the documentation that means nobody has to ask you twice.

You work well with engineers and translate easily between what they need and what the hardware can give them.