Principal Hardware Test Engineer

*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="request-6a61cc6f-a00c-8334-82ca-8a2dd2e477ca-0" data-turn-id-container="request-6a61cc6f-a00c-8334-82ca-8a2dd2e477ca-0" data-testid="conversation-turn-4" data-turn="assistant"> About the job Shape how advanced AI hardware is tested before it reaches customers. You'll lead the technical direction of manufacturing test solutions for Host Processor Modules, Server Blades, and multi-node rack systems. Your work will help ensure every system meets the highest quality standards before deployment. You'll own the architecture of the test executive software and develop manufacturing test content that validates complex hardware at scale. Working across hardware, firmware, and software teams, you'll enable reliable, efficient testing throughout production. This role offers broad technical influence. You'll solve complex engineering challenges, improve manufacturing quality through data, and help shape the future of Graphcore's production test capability. The team and culture You'll join the Product Test and Diagnosis team within Manufacturing Operations. The team defines and delivers test strategies across silicon, boards, server systems, and rack-scale platforms. Day to day, you'll work closely with engineers across hardware, firmware, software, manufacturing, and quality. Decisions are driven by technical evidence, collaboration, and continuous improvement. You'll have the freedom to lead technically, mentor other engineers, and influence how manufacturing test evolves across globally distributed teams. What we're looking for Essential Extensive experience developing and deploying manufacturing test solutions for high-performance servers, accelerators (GPU-class), or comparable large-scale compute hardware. Proven technical leadership as

About Graphcore Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are looking for a Principal Architect to define and drive the architectural vision of the software stack for the Graphcore ML accelerator. In this role, you will shape the architecture of our software ecosystem and maintain a deep understanding of the product’s hardware and software components, their interfaces, and how they interact. You are an excellent communicator, and you proactively convey the software architecture. You bring a pragmatic, trade-off-aware approach to decision-making, fully recognising the impact of architectural choices on product direction and engineering outcomes. The Team The software architecture team is responsible for defining, maintaining and communicating the overarching architecture of our software stack, from firmware to ML frameworks. The team works within the wider software organisation, partnering closely with engineering teams who deliver against this architectural vision. Responsibilities and Duties Define & document the software architecture of the software stack. Work across different software

About the job Build the cloud platform that powers Graphcore’s next generation AI systems. As a Principal Cloud Engineer, you will help develop, deploy and operate cloud services across Graphcore’s AI infrastructure. You will work on private and public cloud systems used by internal teams and customers. Your work will shape how high-performance AI systems are integrated, validated, benchmarked and optimised. You will help keep complex infrastructure reliable, observable and ready for demanding workloads. You will own significant technical initiatives, from OpenStack-based services to Infrastructure-as-Code automation. You will also mentor engineers and turn user needs into services that perform at scale. This role puts you close to pre-release hardware, advanced systems and real product challenges. The Team and Culture The Cloud Platform Team sits within Software Platform and works closely with Software Platform, Datacentre Operations and Product Development. The team builds systems for internal users and customers, often using new components before they are proven. Work moves through practical engineering, clear ownership and fast feedback from users. You will be expected to take responsibility, speak up early and lead critical infrastructure work without close oversight. Decisions are grounded in evidence from benchmarks, observability data and operational performance. The team values engineers who can think big, act fast and bring others with them. What we’re looking for Bachelor's degree or equivalent practical experience in a relevant subject. Strong infrastructure or IT background, with private-cloud or on-premises cloud experience. Expert Linux system administration and scripting skills, including bash and Python. Hands-on experience with Infrastructure-as-Code tools such as Terraform/OpenTofu, Ansible or Packer. Experience with CI or testing pipelines, version control and cloud service deployment. Strong communication skills, with the judgement

Location: Bristol, London or Cambridge, UK About the job Help scale state-of-the art AI models across thousands of accelerators. As a Senior Machine Learning Engineer in the Applied AI team, you will contribute to advancing AI technology by developing and optimising new and existing AI models for our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Having visibility of the entire pipeline from novel accelerator hardware to state-of-the-art AI applications, and the software stack in-between, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. Furthermore, you’ll work closely with researchers in a rapidly-evolving field, where even the most senior engineers are constantly learning and adapting to exciting new challenges. We seek engineers with strong technical foundations who are curious and eager to understand and advance AI model implementation, at scale. We currently have multiple opportunities available in the team at Senior, Staff and Principal level and offer flexibility through a hybrid working model, from any of our UK offices. If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you! The team and culture The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software, as well as our own hardware and software stack, to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. Our work spans from low-level kernel development and optimisation for novel hardware through to implementing and scaling research-level algorithms for the latest AI models. We collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and di

About the job Turn complex manufacturing data into higher yield, stronger quality and better products at scale. As Principal Product Engineer, you will help Graphcore manufacture advanced products with optimised yield, quality and cost. You will guide product performance through launch, production ramp and sustained high volume manufacturing. Your work will influence chip manufacturing, test, PCBA and system level production. You will help teams find the signals that improve reliability, reduce cost and protect quality. You will partner with OSATs, test engineering, manufacturing, quality, data engineering and analytics teams. Together, you will release new products and solve difficult yield, test and manufacturing challenges. This role suits someone who enjoys deep technical ownership and practical impact. You will turn manufacturing data into action across silicon, boards, blades and rack scale systems. The team and culture You will join the Product Test and Diagnosis team within Manufacturing Operations. The team spans Bristol, Cambridge, India, the US and Taiwan, working close to products and production partners. Work happens through direct ownership, technical depth and clear decisions. You will define best practice, challenge assumptions and move quickly when yield or quality needs attention. The team connects silicon, board level assemblies, server blades and rack scale systems. Decisions are grounded in data, engineering judgement and accountability for manufacturing outcomes. What we're looking for · Strong semiconductor product engineering, test engineering or manufacturing engineering capability in high volume production · Deep understanding of semiconductor, PCBA and system level manufacturing and testing · Strong statistical analysis skills, including SPC, DOE, regression, hypothesis testing and six sigma methods · Proven ability to analyse and visualise large manufacturing datasets using Python, SQL, JMP or similar tools · Experience driving yield, qua

About Graphcore Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are looking for a Principal Architect to define and drive the architectural vision of the software stack for the Graphcore ML accelerator. In this role, you will shape the architecture of our software ecosystem and maintain a deep understanding of the product’s hardware and software components, their interfaces, and how they interact. You are an excellent communicator, and you proactively convey the software architecture. You bring a pragmatic, trade-off-aware approach to decision-making, fully recognising the impact of architectural choices on product direction and engineering outcomes. The Team The software architecture team is responsible for defining, maintaining and communicating the overarching architecture of our software stack, from firmware to ML frameworks. The team works within the wider software organisation, partnering closely with engineering teams who deliver against this architectural vision. Responsibilities and Duties Define & document the software architecture of the software stack. Work across different software