Jobs at Graphcore

Supports mechanical design and thermal validation of advanced AI hardware. Responsibilities include creating CAD models and drawings, developing thermal test procedures, setting up laboratory equipment, conducting mechanical and thermal tests, analyzing data, evaluating prototypes, troubleshooting, verifying designs, documenting findings, and collaborating with cross-functional engineering teams while following safety procedures.

Lead manufacturing operational excellence across semiconductor, board, and system production. Analyze manufacturing and reliability data, investigate quality and performance issues, develop control plans, and drive improvements from new product introduction through sustained production. Partner with engineering, quality, supply chain, and outsourced manufacturing teams to improve product reliability, process controls, and production scalability.

Lead global laboratory and data center infrastructure programs from requirements and site selection through design, procurement, construction, commissioning, and operational readiness. Act as the client-side owner’s representative, managing schedules, budgets, dependencies, risks, vendors, and stakeholder alignment. Oversee infrastructure supporting high-density AI compute, including power, cooling, networking, and lab operations across multiple locations.

Own and refine software infrastructure backlogs, shape increment and sprint plans, coordinate across technical teams, clarify dependencies and delivery choices, and align engineering work with product outcomes. Facilitate stakeholder decisions, surface risks, define deliverables, and support software platform teams building, testing, and supporting infrastructure for Graphcore’s software organization.

Investigate a next-generation AI computing architecture across rack and data-centre scales. Design experiments, benchmark AI workloads, analyse hardware-software interactions, and evaluate system performance, scalability, and reliability. Develop automation and tooling to collect, analyse, and visualise system metrics, communicating findings with clear, reproducible evidence while collaborating across engineering teams.

Develops physical designs for next-generation AI semiconductors, delivering signoff-quality chip layouts at advanced process nodes. Responsibilities include floorplanning, synthesis, placement and routing, clock-tree synthesis, timing analysis, logical equivalence, physical verification, flow enhancement, scripting, debugging, and PPA optimization. The engineer collaborates with RTL, verification, DFT, architecture, packaging, product engineering, foundries, and external support teams.

Develop system-level diagnostic and stress-testing software for next-generation AI SoCs. Extend Arm diagnostics tools, validate CPUs, memory, interconnects, PCIe, storage, firmware, and accelerators, and detect intermittent failures such as silent data corruption. Build configurable validation utilities and automation across server and rack-scale environments. Collaborate with hardware, firmware, and validation teams to improve observability, fault isolation, silicon bring-up, and platform reliability.

Provides advanced troubleshooting, bring-up, validation, and reliability support for AI compute hardware across labs and data centers. Diagnoses server, motherboard, power, thermal, network, BIOS, and BMC issues; performs root cause analysis; supports hardware deployment and qualification; develops documentation; and mentors junior staff. The role also includes collaboration with engineering and infrastructure teams and participation in on-call support during critical milestones.

Lead cross-functional programs delivering next-generation AI networking infrastructure from architecture through deployment and operational readiness. Coordinate networking, optical connectivity, hardware, software, operations, manufacturing, suppliers, and customers. Manage schedules, milestones, dependencies, risks, qualification, production readiness, supplier roadmaps, and executive reporting while supporting scalable hyperscale datacenter deployments and high-bandwidth optical interconnect solutions.

Coordinates engineering planning, schedules, milestones, dependencies, risks, issues, and delivery commitments across multiple teams. Facilitates meetings, maintains dashboards and documentation, supports resource planning, tracks actions, prepares stakeholder reporting, and improves engineering processes. The role works across geographically distributed teams and influences progress without direct authority.

Develop system-level diagnostic and stress-testing software for next-generation AI SoCs. Build tools that detect hardware failures, silent data corruption, timing issues, and reliability problems across CPUs, memory, PCIe, storage, firmware, BMC, and other platform components. Extend Arm diagnostics, automate validation across server and rack-scale environments, debug hardware-software interactions, analyze failures, and collaborate with hardware, firmware, and validation teams during silicon bring-up.

Leads complex hardware engineering programs from manufacturing planning through factory readiness, test readiness, engineering builds, and product qualification. Coordinates Hardware, Electrical, Mechanical, Firmware, Validation, Manufacturing Engineering, Supply Chain, Quality, Operations, and external manufacturing partners. Drives program schedules, engineering changes, risk mitigation, manufacturing test validation, issue resolution, reporting, and continuous process improvement.

Lead advanced troubleshooting, bring-up, validation, and reliability support for Arm-based AI compute hardware across labs and data centers. Diagnose server, motherboard, power, thermal, network, BIOS, and BMC issues; perform root-cause analysis; support qualification and deployment; develop SOPs and validation documentation; and mentor junior staff. The role also includes collaboration with engineering and infrastructure teams and participation in on-call support during critical milestones.

Develop and extend system-level diagnostics, stress-testing software, and validation utilities for next-generation AI SoCs. The role diagnoses hardware, firmware, operating system, and driver interactions across CPUs, memory, PCIe, storage, networking, and accelerators. Responsibilities include exposing intermittent failures such as silent data corruption, automating diagnostics across server and rack-scale environments, supporting multiple silicon revisions, improving observability and fault isolation, and collaborating with hardware, firmware, and validation teams during silicon bring-up.

Provides technical leadership for designing, integrating, validating, and deploying robotic automation systems for data center operations. Leads transition of robotics concepts from R&D to production, coordinates internal and external partners, guides verification and validation, troubleshoots full-stack systems, and develops scalable software, hardware, and fleet-management capabilities. The role also mentors engineers, influences technical direction, evaluates emerging technologies, and supports deployment across partner and manufacturing sites.

Design, develop, and deploy UEFI firmware for hyperscale AI server platforms. Responsibilities include platform initialization, hardware configuration, security features, RAS capabilities, telemetry, firmware updates, CI/CD integration, hardware and firmware debugging, and collaboration with silicon, hardware, BMC, ODM, security, and validation teams.

Validate rack-level firmware stacks across ARM-based server platforms, including UEFI/EDK II, OpenBMC, firmware updates, security features, and platform management services. Develop automated validation frameworks, regression tests, and CI/CD integrations. Support system bring-up, debugging, root cause analysis, hardware-in-the-loop testing, and production readiness in collaboration with silicon vendors, ODMs, and platform engineering teams.

Coordinates engineering programs across multiple teams by maintaining schedules, milestones, risks, issues, dependencies, and action trackers. Facilitates meetings, prepares status reports and dashboards, supports resource planning and governance, follows up on commitments, and improves program processes. The role enables stakeholder alignment, operational efficiency, and timely delivery of complex engineering objectives.

Lead hardware troubleshooting, bring-up, validation, and qualification for AI compute platforms across lab and data center environments. Diagnose server, motherboard, power, thermal, networking, BIOS, and BMC issues; perform root-cause analysis; develop procedures and validation documentation; support deployments; and mentor junior engineers and technicians. Participate in on-call support during critical hardware milestones.

Lead hands-on hardware reliability, diagnostics, bring-up, validation, and engineering support across laboratory and data center environments. Diagnose failures involving server blades, racks, power, thermal behavior, networking, BIOS, and BMC systems. Perform root cause analysis, recommend corrective actions, improve documentation and operating practices, and guide junior engineers while collaborating with systems, firmware, hardware, platform, and data center teams.