Jobs at Graphcore

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 the end-to-end manufacturing test strategy from board (L6) to rack (L11), manage a 3-5 engineer team, partner with hardware/firmware/validation/quality/JDM, define test infrastructure and capacity, drive yield improvements, CAPA, and continuous manufacturing quality improvements.

The role involves developing test automation frameworks, translating hardware specifications into tests, and collaborating with engineering teams for AI hardware validation.

Lead end-to-end signal integrity analysis and optimization for blade- and rack-level high-speed compute platforms. Perform SI/PI simulations and hands-on lab validation (VNA, TDR, BERT, oscilloscopes), correlate measurements with simulations, debug margin gaps, and collaborate with silicon, package, board, connector, cable, ODMs and vendors to improve I/O channel performance and produce technical validation reports.

Deliver day-to-day People operations for the US region: manage onboarding, employee lifecycle, HRIS updates, benefits and payroll inputs (via Sequoia One), handle employee and manager queries, support compliance, background checks and visa processes, and help scale regional People operations and process automation.

Lead and build Graphcore's silicon characterisation capability: define bring-up and characterisation strategies, oversee technical execution, design lab infrastructure, implement measurement automation and data analysis, and collaborate across silicon, hardware, manufacturing, architecture and product teams to ensure reliable AI silicon performance.

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.

Join the System Management team as a Staff Engineer, focusing on software engineering across the SDLC, managing cloud-native infrastructure, and developing rack management solutions. Collaborate effectively to ensure peak performance of AI systems.

Lead system-level hardware project engineering efforts: plan and track milestones, coordinate cross-functional teams (hardware, electrical, mechanical, firmware, SI, thermal, manufacturing, supply chain, quality), manage deliverables through the product lifecycle, identify and mitigate technical risks, support program reviews, and resolve cross-organization issues with ODM partners to maintain project momentum.

Define and execute board- and system-level validation strategies and test plans. Perform hands-on bring-up, functional and electrical characterization, automated test development, debugging, root-cause analysis, and collaborate with ODMs and manufacturing to qualify products for mass production. Document results and present readiness assessments to stakeholders.

Assemble and rework electronic prototypes, perform basic functional testing and troubleshooting of PCBAs, support engineers with test setups, maintain lab equipment and workspace, and manage inventory and procurement of consumables.

Define and deploy board- and system-level manufacturing test strategies for high-volume server production. Develop ICT/MDA/board functional tests, fixtures, and test infrastructure; drive yield improvement, failure analysis, and corrective actions; partner with ODMs and cross-functional teams to ensure scalable, reliable production testing and factory readiness.

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.

Seeking a Staff Hardware Engineer for advanced operational and diagnostic support of Arm-based hardware platforms, focusing on troubleshooting AI compute systems.

The Senior Systems Engineer role involves troubleshooting, maintaining, and supporting AI compute hardware platforms while collaborating with engineering teams for reliability and performance.

The candidate will lead troubleshooting and engineering support for AI hardware platforms, collaborating with teams on validation and performance.

Lead design, development, and validation of production firmware for next-generation hardware. Drive architecture, implement real-time embedded and boot systems in C/C++, perform low-level debugging (JTAG, oscilloscopes, logic analyzers), collaborate across hardware and silicon teams, improve CI/CD and validation frameworks, and mentor engineers.

Lead design and implementation of digital twin and simulation capabilities for data center and rack/blade systems using Omniverse/OpenUSD. Build real‑time simulation, physics integrations, validation pipelines, 3D scene composition, data integration, tooling, and visualization; provide technical leadership, reviews, and cross-team collaboration.

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.