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Create PCB layouts, perform design checks, and prepare manufacturing documentation for AI compute hardware. Collaborate with electronics, mechanical, signal integrity, manufacturing and test teams to turn designs into reliable, manufacturable hardware while developing PCB design expertise.

Operate and develop cloud platforms and services for AI systems: deploy Kubernetes-managed services, integrate and validate Graphcore hardware, automate infrastructure with IaC, collaborate with datacentre operations, and optimize performance and observability for private and public clouds.

Deploy, operate, and extend OpenStack-based private and public cloud services for Graphcore AI systems. Build Infrastructure-as-Code deployments, CI pipelines, observability/monitoring, and automate benchmarking, configuration, and integration of third-party servers, networking, and storage. Collaborate with datacentre operations, engineering, vendors, and end-users to maintain peak performance and resolve system issues.

Operate and extend OpenStack-based private and public cloud services, deploy end-user services using Infrastructure-as-Code, automate observability and metrics collection, configure and benchmark AI hardware and third-party servers/switches/storage, collaborate with datacenter operations and engineering to maintain high-performance fleets, and drive corrective actions and integrations for cloud reference designs.

Deploy, operate and optimise Kubernetes-managed services across private and public clouds supporting Graphcore AI systems. Work with datacentre teams to configure, validate and benchmark hardware; implement Infrastructure-as-Code and continuous deployment; manage monitoring, storage and virtual networks; and support internal users and product teams to ensure peak performance and availability.

Responsible for developing new and maintaining existing kernels for linear algebra operations on AI hardware, while profiling and optimizing performance.

The Compliance Manager will develop and implement security frameworks for global lab environments, ensuring compliance, securing hardware, and managing access control.

As a Senior Machine Learning Engineer, you will develop and optimize AI models for specialized hardware, scale systems, and collaborate with cross-functional teams.

Lead strategic sourcing for memory and storage technologies, manage supplier relationships, negotiate commercial agreements, develop cost models and risk mitigation plans, support NPI and production ramps, and collaborate cross-functionally to secure capacity and optimise cost, quality, and supply resilience for AI infrastructure platforms.

Lead global sourcing strategy for contract manufacturing partners: build and mentor a sourcing team, negotiate long-term agreements, develop cost models, ensure capacity and supply continuity, drive cross-functional alignment and supplier performance.