HPC Engineer

CUDO is delivering a large-scale GPU infrastructure project, taking it from hardware specification through to production clusters running real AI workloads. Getting there means more than installing GPUs. The infrastructure needs to be stable, tuned, monitored and built to operate reliably from day one.

As an AI infrastructure owner-operator, CUDO doesn't design something and hand it over. We own it and we run it. So the GPU clusters we build need to be specified properly, deployed cleanly, automated from day one and supported by processes our service team can operate.

Why this role exists

That project creates a very specific engineering challenge, and it is why we need an HPC Engineer now. Delivering GPU infrastructure at this scale takes hands-on engineering across every layer of the cluster: compute, interconnect, storage, scheduling and monitoring.