C

Physical Compute Infrastructure Engineer

United Kingdom
Visa Sponsorship Relocation
This Job is No Longer Active This position is no longer accepting applications

Lead the design, deployment, and operation of Callosum's heterogeneous AI compute clusters across multiple sites. Scope and commission new infrastructure while building and managing a team for reliability and observability. Requires deep expertise in power, cooling, rack design, networking, and storage integration.

Key Highlights
Own full lifecycle of physical compute infrastructure from site assessment to cluster operation
Coordinate complex deployments across facilities, vendors, and external stakeholders
Build operational systems for telemetry, health monitoring, maintenance, and capacity planning
Lead and grow a team responsible for fleet reliability and availability
Key Responsibilities
Scope new cluster deployments across site selection, power, cooling, rack layout, networking, storage, fibre connectivity, and capacity requirements
Coordinate delivery and commissioning across facilities, utilities, OEMs, networking and storage vendors
Build operational infrastructure for the fleet including hardware telemetry, health monitoring, maintenance, incident response, capacity planning, and hardware lifecycle management
Build and lead the physical infrastructure team responsible for deploying new clusters and maintaining reliability and availability
Technical Skills Required
Power and cooling design Rack layout and networking Storage and fibre connectivity Hardware telemetry and monitoring Incident response and lifecycle management
Benefits & Perks
Competitive salary
Equity & ownership
Private healthcare
Visa sponsorship
Relocation benefits

Job Description

We’re living through a Cambrian explosion of intelligence: new models and new chips, each specialised for different tasks, are arriving all at once. The result is a new era for AI, one of radical heterogeneity.Callosum is the Intelligent Systems Company. We believe the next generation of AI won't be defined by any single model or chip, but by intelligent systems in which hardware and intelligence co-evolve. We are building the infrastructure that unifies heterogeneous compute across the full stack. This opens a new axis of scaling intelligence: a dynamic system that tailors itself to what each workload actually needs, whether that's speed, cost, precision, or whatever unit comes next.
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