Jobs at Graphcore

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.

The Staff Software Engineer will design and develop the Collectives Communication Library for AI hardware, lead development efforts, mentor junior engineers, and ensure integration with existing systems.

The role involves validating AI chips, leading test design in C/C++, debugging on FPGAs, automating tests in Python, and collaborating across teams.

The System Software Engineer will design, implement, test, and document OS Kernel and Device Driver software using C/C++/Python, collaborating closely with hardware engineers in an agile environment.

This role involves designing and maintaining automated test suites for Kubernetes, validating integrations, and mentoring engineers in QA practices.

Lead financial strategy and planning for a semiconductor and AI company, partnering with senior leadership on forecasting, performance management, and decision-support. Oversee financial models, scenario analysis, capital allocation, and team leadership to drive accountability and growth.

Lead and conduct post-silicon validation for AI compute blades and racks, ensuring performance meets product standards while collaborating with multiple teams and mentoring engineers.

Responsible for sourcing PCBA components, managing supplier relations, negotiating contracts, and driving cost optimization while collaborating with engineering and manufacturing teams.

The engineer will design, implement, and test kernel drivers and user space driver libraries, participating in agile development within a software team, and collaborating with hardware teams for product delivery.

The Software Engineer will develop the Collectives Communication Library for AI hardware, collaborating with teams, implementing features, and resolving technical issues.

The Director of Silicon Verification will lead the verification strategy, manage teams, oversee methodologies, and collaborate across departments to ensure high-quality silicon delivery.

Lead post-silicon validation for AI SoCs, ensuring quality and reliability through effective collaboration and debugging across teams. Foster automation and continuous improvement in validation methods.

Lead system bring-up and validation for ARM-based blades and AI compute racks. Drive firmware integration, lab and debug tool development, test plan ownership, triage/post-silicon validation, and cross-functional coordination to meet program milestones and improve system validation methodologies and capabilities.

Lead electrical architecture and delivery for high-density AI data center infrastructure across design, construction, commissioning and operation. Develop standards, protection strategies, resilient power and energy-storage solutions; evaluate power-conversion technologies; direct consultants; support testing, site acceptance, operational readiness, incident investigations and cross-disciplinary collaboration. Mentor engineers and engage utilities, authorities and industry bodies.

Lead the bring-up and characterisation of Graphcore silicon devices and system platforms. Build and lead a team to develop characterisation plans, automate measurements and testing, script data analysis, and validate silicon and system-level performance. Collaborate with architecture, silicon, hardware, operations and product teams to resolve technical issues and influence product design and capabilities.

Develop, scale, and maintain tools and services for software build, test, deployment, and productization. Support junior/graduate engineers, automate workflows and integrations, and ensure high reliability and low operational toil across infrastructure and release processes.

Design and build CI/CD foundations and deployment workflows for Go-based, Kubernetes-native services. Automate infrastructure provisioning with Terraform/Helm/Ansible, support application development and testing, improve pipeline reliability, shorten feedback loops, and ensure secure, auditable deployments across environments.

Plan and execute verification for complex silicon architecture: define coverage, generate tests, diagnose RTL/software failures, and improve shared verification infrastructure to ensure silicon quality before implementation.

Lead post-silicon functional validation for AI SoCs: plan, develop and debug bare-metal tests on FPGA/emulator and first silicon, build Python automation and regression suites, analyse failures, collaborate across hardware, firmware and platform teams, and improve test infrastructure and methodologies.

Develop, deploy and maintain system-level test (SLT) content, automation, diagnostics and characterization for AI processors. Execute margining, reliability screening and performance correlation; debug failures and perform root-cause analysis across lab, ATE and manufacturing. Build SLT hardware and automation tools, support manufacturing transfer and ramp, and mentor junior engineers to improve test coverage and manufacturability.