Jobs at Graphcore

The Staff Systems Engineer will troubleshoot and support Graphcore's AI hardware platforms, ensuring performance and reliability through collaboration and validation processes.

Lead the validation of hardware platforms, define strategies, manage a validation engineering team, and ensure hardware meets performance and reliability targets.

Lead strategic sourcing for memory and storage technologies (DRAM, SSD, HDD) supporting AI infrastructure. Develop supplier strategies, manage relationships, negotiate commercial agreements, ensure capacity and supply continuity, perform cost modelling and market intelligence, drive supplier performance and risk mitigation, and support new product introductions with cross-functional teams.

The Principal Network Engineer oversees network fabric maintenance for AI datacenters, collaborates on high-speed network design, and troubleshoots complex routing protocols.

Develop and manage software interfaces for rack management solutions, ensuring robust performance in AI systems and infrastructure. Collaborate across teams to enhance operational efficiency, employing skills in cloud-native environments and troubleshooting.

Lead end-to-end strategic sourcing for AI infrastructure commodities: supplier selection, negotiation, cost modeling, performance management, risk mitigation, and cross-functional collaboration to ensure resilient supply for Graphcore's compute platforms.

Design, develop, and implement diagnostics software and tools for hardware monitoring and fault diagnosis in AI systems. Collaborate with multiple teams to ensure system reliability.

The Principal Reliability Scientist leads reliability activities in high-performance systems, drives experimental design, analyses data for reliability metrics, and collaborates with cross-functional teams to enhance product reliability and serviceability.

The Principal Test Framework Software Engineer will design and implement test automation frameworks for hardware validation, collaborating with teams to ensure quality and efficiency in AI hardware systems.

Define and lead end-to-end security architecture for a large-scale AI inference service platform. Own threat modelling, tenant isolation, platform and hardware security (secure boot, attestation, firmware integrity), network and API protections, secrets and key management, monitoring and incident response, and customer assurance. Partner across engineering, operations, compliance, and customers to set requirements, validate implementations, support audits and pentests, and provide technical leadership and mentorship.

Lead system-level debug and validation for Arm-based server blades and rack platforms. Drive post-silicon bring-up, cross-functional root-cause analysis, debug methodologies, tooling and automation, program metrics, and mentor engineers to ensure POR quality and timely issue resolution.

This role involves advanced troubleshooting, validation, and operational support for AI compute hardware, collaborating with engineering teams to ensure system performance.

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

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.

Lead architecture and design of power delivery from grid to chip for data center AI systems. Define roadmaps, specify rack- and board-level power hardware and firmware, drive vendor engagement, ensure reliability/efficiency, develop prototypes, validate designs, resolve complex hardware/firmware issues, and ensure industry compliance.

Lead global demand and supply planning, drive S&OP, forecasting, inventory optimization, NPI transitions, supplier partnerships, KPI reporting, process improvements, and mentor sourcing/planning teams to support AI infrastructure product delivery.

Drive automation-based validation execution for AI hardware platforms, defining validation strategies and ensuring system readiness across blade and rack levels.

The Principal Power Engineer will lead power delivery architecture development, oversee hardware and firmware from grid to chip, and ensure compliance with performance standards.