Jobs at Graphcore

Develop and maintain infrastructure tools and services to support AI research. Manage CI platforms, deploy services with Kubernetes, and utilize cloud infrastructure.

Lead validation strategy and execution for power, thermal and performance of AI compute silicon and systems. Define validation plans, run pre- and post-silicon characterization, develop automation and benchmarking frameworks (Python), analyze data to find bottlenecks, collaborate across RTL/firmware/software teams, and drive continuous improvement of validation tooling and methodologies.

As a Staff System Software Engineer, design and implement OS kernel and device driver software, collaborate with hardware teams, and participate in agile development.

The Lead Analytics Engineer at Graphcore is responsible for developing and managing the analytics engineering layer, creating robust datasets and metrics, and collaborating with business stakeholders to enhance decision-making through reliable analytics.

Develop and maintain tools for software build and release processes, manage cloud infrastructure with Terraform, and deploy services using Kubernetes and Docker.

The role involves validating and debugging complex hardware systems, particularly focusing on PCIe and Ethernet interfaces, and performing root-cause analysis in collaboration with various engineering teams.

The Staff Embedded SW/FW Engineer will develop and debug silicon bringup sequences, work on post-silicon validation, and lead engineering efforts on AI chip functionalities.

Lead power, thermal and performance validation for AI compute silicon and systems across pre- and post-silicon. Define validation strategies, develop automation and benchmarking frameworks (Python), run characterization and stress tests, analyze telemetry to identify bottlenecks, and collaborate with architecture, RTL, firmware and software teams to debug and optimize systems for efficiency and reliability.

Lead and execute power, thermal and performance validation for AI compute SoCs and systems across pre- and post-silicon. Develop validation plans, automation frameworks, benchmarks and tooling (Python), analyze performance/thermal data, debug HW/SW interactions, and report findings to stakeholders to ensure efficiency, reliability and scalability.

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.

Design, develop, and debug silicon validation tests for AI chips, collaborating with cross-functional teams to ensure the functionality and performance of new products.

The System Software Engineer develops, tests, and documents OS Kernel and Device Driver software while collaborating with hardware teams and participating in agile development.

The Senior Technical Program Manager will oversee project planning and delivery, ensure team alignment, monitor dependencies, and enhance processes in AI systems development.

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.

Lead validation strategy and execution for power, thermal and performance of AI compute silicon and systems. Manage and mentor a validation team, develop validation plans, automate frameworks in Python, run benchmarks and post-silicon characterization, analyse data to find bottlenecks, and collaborate across architecture, RTL, firmware and systems teams to drive product readiness and optimization.

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.

The AI Performance Engineer optimizes performance for AI workloads on ARM architectures, analyzing compute requirements, improving distributed systems, and profiling AI workloads. Responsibilities include benchmarking and enhancing system communication stacks, collaborating with teams to ensure efficiency and reliability.

Lead industrialisation of thermal cooling solutions for high-power AI processors. Own manufacturing readiness for cold plates, TIMs, assemblies; coordinate design, suppliers, and production to improve quality, yield, and scalability across global manufacturing.