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Develop and automate test systems for Graphcore’s electronic hardware platforms, covering system- and board-level preproduction products. Define test methods, specify equipment, debug high-speed links and PCBAs, improve test coverage, and transfer validated solutions into production. Collaborate with hardware, firmware, silicon, manufacturing, and external support teams while using lab equipment and scripting to generate reliable test data.

Designs and validates high-speed signal paths for AI compute hardware, including SERDES, DDR, PCB structures, BGA launches, vias, transmission lines, and package interfaces. Responsibilities span electromagnetic simulation, lab validation, prototype bring-up, debugging, design reviews, manufacturing support, and ownership of signal integrity decisions. The role requires collaboration with PCB, package, architecture, and supplier teams.

Develop and analyze power delivery networks across silicon, packages, PCBs, and complete hardware systems. Use power integrity simulation, electromagnetic modeling, lab measurements, and validation to improve decoupling, stack-up, bring-up, and system reliability. Collaborate with chip, package, board, hardware, and external engineering teams; interpret results, recommend design improvements, review peer work, and guide technical decisions.

Perform hands-on hardware validation, board bring-up, and lab debugging for high-speed interfaces including SerDes, PCIe Root Complex, and Ethernet. Use oscilloscopes, BERT systems, VNA/TDR equipment, and PCIe protocol analysers to diagnose signal integrity, protocol, link-training, interoperability, and interface issues. Collaborate across silicon, hardware, firmware, architecture, and engineering teams to identify root causes and drive resolution.

Lead and grow Graphcore’s product engineering organization across semiconductor, PCBA, and system-level manufacturing. Drive yield, quality, and cost improvements through production data, statistical analysis, testing, and manufacturing best practices. Build teams across global locations, collaborate with OSATs and engineering functions, and establish standards for data collection, correlation, dashboards, and manufacturing insight throughout the product lifecycle.

Develop and maintain PCB component libraries, footprints, symbols, 3D models, and multilayer board layouts using Cadence Allegro/OrCAD. Validate component data, perform placement and routing, run design rule checks, and prepare fabrication and assembly deliverables. Collaborate with electrical, mechanical, manufacturing, procurement, and suppliers to resolve design issues, support engineering changes, ensure design-for-manufacturability, and maintain accurate release documentation.

Supports export control compliance and international logistics activities, including export license determinations, license applications, technology transfer queries, supplier and customer screening, recordkeeping, and UK shipment coordination. Works with Supply Chain, Logistics, Engineering, and other stakeholders to provide practical guidance and ensure compliant movement of goods and technology across global operations.

Design and validate mechanical and thermal components for advanced AI hardware and data center systems. Create CAD models and drawings, develop and execute prototype tests, analyze data, troubleshoot issues, support verification, and document engineering results. Collaborate with thermal, electrical, hardware, systems, and manufacturing teams throughout the product development lifecycle.

Develop and validate low-level embedded firmware for advanced compute systems. Responsibilities include firmware implementation, automated testing, Linux-based debugging, hardware bring-up, lab validation, continuous integration, root-cause analysis, and collaboration across hardware, silicon, systems, and software teams. The role also involves documenting designs and test findings, conducting engineering experiments, and supporting reliable firmware delivery.

Support hardware platform design, laboratory testing, system validation, automation, and performance analysis for advanced AI compute systems. Develop scripts, analyze power and signal measurements, investigate issues, and collaborate across hardware, firmware, software, mechanical, thermal, and systems teams. Candidates should be enrolled in a relevant degree program and have lab-testing experience, programming or scripting knowledge, and foundational computer architecture or embedded-systems understanding.