Careers at Graphcore

Salary Range: PLN Range: 260,400 - 352,200 About the job Build the framework support that helps AI developers unlock Graphcore hardware. You will help Graphcore accelerators work seamlessly with state-of-the-art ML frameworks, including Triton and PyTorch. Reporting to a Team Lead in Frameworks, you will design, implement, optimise and support critical software. Your work will shape how researchers and engineers use Graphcore hardware for demanding machine learning workloads. You will improve performance, quality and usability across a complex software stack. You will join our Triton team, delivering new features, reviewing code, writing technical documentation and working with upstream communities. You will also help coordinate open-ended technical work across teams. This is a role for engineers who want deep technical ownership and visible impact. As the ML software landscape evolves, you will keep learning and may contribute across other framework teams. The team and culture The Frameworks team connects Graphcore hardware with the tools ML engineers and researchers rely on. We work across PyTorch, Triton, JAX and TensorFlow, with a strong focus on usability and performance. Work happens through agile practices, close technical discussion and clear ownership. Engineers are trusted to speak up, solve hard problems and move work forward with pace. Decisions are shaped by evidence, code quality and business outcomes. You will collaborate across Graphcore and with open-source communities to deliver software that developers can trust. What we’re looking for · Strong software engineering skills, with the judgement to manage quality, complexity and technical debt. · Experience developing in Python and C++. · Experience in compiler development. · Ability to manage complex technical tasks with cross-team dependencies. · Clear communication skills, with a proactive approach to collaboration and technical leadership. · Interest in AI, ML frameworks, performance optimisation or computationally intensive engineering. While we have outlined a set of requirements, we value transferable skills and diverse experiences. If you meet most of our essential criteria, we encourage you to submit an application and showcase how your background makes you a strong candidate. Benefits · Flexible working: Balance your work and personal life with greater flexibility · Comprehensive healthcare and dental cover: Premium medical and dental insurance, with the option to extend cover to your family · Phantom equity: Share in Graphcore’s success · Fitness and wellbeing support: A fully funded Medicover gym card, giving you access to a wide range of gyms, fitness classes and leisure centres · Financial protection: Death and disability insurance, providing financial security for you and your loved ones · Retirement savings: Build your financial future, with a 4% employer contribution from Graphcore, alongside your own contributions · Employee Assistance Programme (EAP): Confidential advice and support for you and your family across a range of personal, financial and wellbeing matters We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you. Join the Team at 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 brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute. If you want to shape the frameworks developers use to push AI compute forward, we’d love to hear from you. Apply now to be part of the journey.

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. Summary Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed The Team The Software Infrastructure team provides critical platforms and services for software development teams across the business. Our responsibilities include managing the CI platform and services, build engineering, component integration, and packaging and release systems. We operate in squads, fostering a culture of service ownership and empowerment for our engineers. We focus on long-term engineering solutions and strive to eliminate toil wherever possible. Responsibilities and Dutie s Develop, own, and maintain tools and services to support the software build and release process Deploy and maintain services with Kubernetes and Docker Manage our Cloud Infrastructure using tools such as Terraform Candidate Profile Essential: Knowledge of Python/Go/C++ (or similar language) Experience deploying services in the cloud (AWS preferred) Deep understanding of Linux environments Native user of CI/CD for production deployments Experience with Infrastructure as Code (IaC) tools (e.g. Terraform/OpenTofu) Desirable Experience using Kubernetes (k8s) or OpenStack Experience with GitHub Actions Experience with build tools (e.g. CMake) Experience with modern observability tooling (e.g. Prometheus) Experience with Grafana Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

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. Summary Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed system The Team The Software Infrastructure team provides critical platforms and services for software development teams across the business. Our responsibilities include managing the CI platform and services, build engineering, component integration, and packaging and release systems. We operate in squads, fostering a culture of service ownership and empowerment for our engineers. We focus on long-term engineering solutions and strive to eliminate toil wherever possible. Responsibilities and Duties Develop, own, and maintain tools and services to support the software org Deploy and maintain Kubernetes infrastructure to develop, test, and scale Graphcore hardware and its software stack Manage our Cloud Infrastructure using tools such as Terraform Candidate Profile Essential: Practical experience developing in Go Familiarity with cloud services (AWS preferred) Experience managing or developing in Linux environments Understanding of CI/CD principles Strong experience of Kubernetes (k8s) development and deployment Desirable Experience developing Kubernetes Controllers Experience with Infrastructure as Code (IaC) tools (e.g. Terraform/OpenTofu) Experience with GitHub Actions Experience with distributed HPC systems Experience with modern observability tooling (e.g. Prometheus) Knowledge of Python/C++ (or similar language) Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

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. Summary Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed system The Team The Software Infrastructure team provides critical platforms and services for software development teams across the business. Our responsibilities include managing the CI platform and services, build engineering, component integration, and packaging and release systems. We operate in squads, fostering a culture of service ownership and empowerment for our engineers. We focus on long-term engineering solutions and strive to eliminate toil wherever possible. Responsibilities and Duties Develop, own, and maintain tools and services to support the software org Deploy and maintain Kubernetes infrastructure to develop, test, and scale Graphcore hardware and its software stack Manage our Cloud Infrastructure using tools such as Terraform Candidate Profile Essential: Practical experience developing in Go Familiarity with cloud services (AWS preferred) Experience managing or developing in Linux environments Understanding of CI/CD principles Strong experience of Kubernetes (k8s) development and deployment Desirable Experience developing Kubernetes Controllers Experience with Infrastructure as Code (IaC) tools (e.g. Terraform/OpenTofu) Experience with GitHub Actions Experience with distributed HPC systems Experience with modern observability tooling (e.g. Prometheus) Knowledge of Python/C++ (or similar language) Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

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. Summary Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed system The Team The Software Infrastructure team provides critical platforms and services for software development teams across the business. Our responsibilities include managing the CI platform and services, build engineering, component integration, and packaging and release systems. We operate in squads, fostering a culture of service ownership and empowerment for our engineers. We focus on long-term engineering solutions and strive to eliminate toil wherever possible. Responsibilities and Duties Develop, own, and maintain tools and services to support the software org Deploy and maintain Kubernetes infrastructure to develop, test, and scale Graphcore hardware and its software stack Manage our Cloud Infrastructure using tools such as Terraform Candidate Profile Essential: Practical experience developing in Go Familiarity with cloud services (AWS preferred) Experience managing or developing in Linux environments Understanding of CI/CD principles Strong experience of Kubernetes (k8s) development and deployment Desirable Experience developing Kubernetes Controllers Experience with Infrastructure as Code (IaC) tools (e.g. Terraform/OpenTofu) Experience with GitHub Actions Experience with distributed HPC systems Experience with modern observability tooling (e.g. Prometheus) Knowledge of Python/C++ (or similar language) Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

About the job Build the cloud platform that turns Graphcore AI systems into usable, scalable services. Graphcore needs a Staff Cloud Engineer to develop and deploy private and public cloud services for AI compute. You will join the Cloud Platform team within Software Platform, close to datacentre operations and product development. Your work will shape how internal users and customers access large-scale AI systems. You will keep critical infrastructure available while helping pre-release hardware and software become reliable cloud services. You will operate and extend OpenStack-based services, automate deployment with infrastructure-as-code, and improve observability across the fleet. You will benchmark, validate and optimise systems spanning Graphcore hardware, servers, switches and storage. This role suits someone who wants ownership of hard infrastructure problems, not a narrow ticket queue. Expect unproven components, direct user feedback, and decisions that move quickly into production. The team and culture The Cloud Platform team turns Graphcore products into large-scale AI solutions for internal users and customers. Work happens close to the systems, with engineers deploying, measuring and improving services directly. You will work with Software Platform, Datacentre Operations, Product Development, Engineering and QA. The team values people who take responsibility for unclear problems and make progress without waiting for perfect inputs. The team makes decisions from evidence: metrics, benchmarks, user impact and system behaviour. Engineers speak up, surface risks early and own corrective actions when systems need attention. What we’re looking for A relevant degree or equivalent practical experience, with proven ability to scope and deliver technical infrastructure work. Experience operating on-premises or private-cloud environments, with strong ownership of end-user availability. Strong Linux system administration and scripting skills, including Bash and Python. Hands-on experience deploying services with Infrastructure-as-Code, using tools such as Terraform/OpenTofu, Ansible or Packer. Practical understanding of cloud foundations, including virtualisation, virtual networks, block storage, monitoring and observability. Experience using Git, CI or testing pipelines and container tools, with clear communication when supporting users. While we have outlined a set of requirements, we value transferable skills and diverse experiences. If you meet most of our essential criteria, we encourage you to submit an application and showcase how your background makes you a strong candidate. Benefits Flexible working: Balance your work and personal life with greater flexibility Generous leave: Take time to rest, recharge and enjoy life outside of work Retirement planning support: Up to 5% matched pension Phantom equity: Share in Graphcore’s success Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you. Sponsorship Applicants must have the legal right to work in the UK. Unfortunately, we are unable to provide visa sponsorship or support visa applications for this role. Join the Team at 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 brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute.

About the job Build the cloud platform that turns Graphcore AI systems into usable, scalable services. Graphcore needs a Staff Cloud Engineer to develop and deploy private and public cloud services for AI compute. You will join the Cloud Platform team within Software Platform, close to datacentre operations and product development. Your work will shape how internal users and customers access large-scale AI systems. You will keep critical infrastructure available while helping pre-release hardware and software become reliable cloud services. You will operate and extend OpenStack-based services, automate deployment with infrastructure-as-code, and improve observability across the fleet. You will benchmark, validate and optimise systems spanning Graphcore hardware, servers, switches and storage. This role suits someone who wants ownership of hard infrastructure problems, not a narrow ticket queue. Expect unproven components, direct user feedback, and decisions that move quickly into production. The team and culture The Cloud Platform team turns Graphcore products into large-scale AI solutions for internal users and customers. Work happens close to the systems, with engineers deploying, measuring and improving services directly. You will work with Software Platform, Datacentre Operations, Product Development, Engineering and QA. The team values people who take responsibility for unclear problems and make progress without waiting for perfect inputs. The team makes decisions from evidence: metrics, benchmarks, user impact and system behaviour. Engineers speak up, surface risks early and own corrective actions when systems need attention. What we’re looking for A relevant degree or equivalent practical experience, with proven ability to scope and deliver technical infrastructure work. Experience operating on-premises or private-cloud environments, with strong ownership of end-user availability. Strong Linux system administration and scripting skills, including Bash and Python. Hands-on experience deploying services with Infrastructure-as-Code, using tools such as Terraform/OpenTofu, Ansible or Packer. Practical understanding of cloud foundations, including virtualisation, virtual networks, block storage, monitoring and observability. Experience using Git, CI or testing pipelines and container tools, with clear communication when supporting users. While we have outlined a set of requirements, we value transferable skills and diverse experiences. If you meet most of our essential criteria, we encourage you to submit an application and showcase how your background makes you a strong candidate. Benefits Flexible working: Balance your work and personal life with greater flexibility Generous leave: Take time to rest, recharge and enjoy life outside of work Retirement planning support: Up to 5% matched pension Phantom equity: Share in Graphcore’s success Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you. Sponsorship Applicants must have the legal right to work in the UK. Unfortunately, we are unable to provide visa sponsorship or support visa applications for this role. Join the Team at 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 brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute.

Salary Range: PLN 350,700- 474,400 Subject to alignment to the responsibilities and duties of the role. Location: Gdańsk - Candidates must be local due to hybrid working policy About the job Make AI accelerator hardware feel native inside Kubernetes clusters. As a Staff Cloud Software Engineer, you will build Go services that connect accelerator hardware with Kubernetes. You will own software components that turn complex compute capability into a usable platform experience. Your work will shape how AI workloads discover, access and scale across cluster infrastructure. That means designing production services where reliability, performance and observability are part of the architecture. You will build CRDs, operators and Kubernetes components for ML and platform teams. You will partner with hardware, cloud and ML engineers on design choices and roadmap priorities. This is a senior IC role with room to set direction. You will mentor engineers, raise code quality and help define how Graphcore delivers cloud-native AI compute. The team and culture The Workload Management team sits between Kubernetes, cloud platforms and accelerator hardware. Work moves from architecture to implementation, review and production readiness without losing system context. You will be trusted to own technical areas, challenge assumptions and move important work forward. The pace is driven by clear priorities, fast feedback and strong engineering judgement. Decisions are made through evidence, prototypes and direct technical discussion. Engineers are expected to speak up early, share trade-offs and help the team learn quickly. What we’re looking for Strong Go engineering experience, with significant experience delivering complex production software Deep Kubernetes architecture knowledge, including CRDs, operators and cloud-native integration patterns Solid Linux understanding, with the ability to debug issues across distributed systems Experience leading technical initiatives and mentoring engineers through design, review and delivery Ability to improve code quality, observability, automation and developer experience Clear C1-level English communication, with confidence working across hardware, cloud and ML teams Benefits Flexible working: Balance your work and personal life with greater flexibility Comprehensive healthcare and dental cover: Premium medical and dental insurance, with the option to extend cover to your family Phantom equity: Share in Graphcore’s success Fitness and wellbeing support: A fully funded Medicover gym card, giving you access to a wide range of gyms, fitness classes and leisure centres Financial protection: Death and disability insurance, providing financial security for you and your loved ones Retirement savings: Build your financial future, with a 4% employer contribution from Graphcore, alongside your own contributions Employee Assistance Programme (EAP): Confidential advice and support for you and your family across a range of personal, financial and wellbeing matters We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you. Sponsorship Applicants must have the legal right to work in Poland. Unfortunately, we are unable to provide visa sponsorship or support visa applications for this role. Join the Team at 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 brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute. Ready to make Kubernetes the natural home for new AI accelerator hardware? Apply now to join Graphcore.

About us 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 brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute. Job Summary Reporting to the Head of Data & Transformation, the Staff Data Engineer – Agentic Applications is a senior individual contributor responsible for designing, building and operating Python-based web applications, agentic workflows and supporting data services for Graphcore’s business teams. The role combines strong data engineering foundations with hands-on application development, using AI agents, trusted data and business system integrations to improve decision-making and automate operational workflows. Depending on the use case, you will either deliver applications end to end, using AI-assisted coding tools to build and maintain the front end, or own the backend and enable business colleagues to create and look after their own front ends. In both approaches, you will help establish clear ownership, secure interfaces and appropriate engineering controls so applications remain reliable, maintainable and supportable. Working closely with engineers, analysts and business stakeholders, you will take solutions from initial requirements through to production, contribute to the evolution of the underlying data platform and provide technical leadership through design reviews, code reviews and mentoring. The Team The Data & Analytics team enables better decision-making across Graphcore by building trusted data foundations, scalable platforms and high-quality data products. The team works across a broad range of business and technical domains, partnering with colleagues throughout the company to improve access to reliable information, strengthen operational insight and support efficient, data-informed ways of working. Within this team, the Staff Data Engineer – Agentic Applications turns these foundations into practical business applications and automated workflows. The role also enables colleagues outside engineering to participate in application development, supported by reusable services, clear guidance and appropriate governance. Responsibilities and Duties Build business-facing applications. Design, develop and operate production-ready Python web applications that help business teams access trusted data, complete tasks and improve operational workflows. Develop agentic capabilities. Build applications and workflows that connect AI agents to approved tools, APIs, datasets and business systems, with clear boundaries on what agents can access and do. Translate business needs into working solutions. Partner with analysts, engineers and business stakeholders to understand user needs, identify appropriate opportunities for automation and take applications from prototype through to supported production services. Deliver end-to-end applications where appropriate. Use AI-assisted coding tools to build and maintain front ends alongside Python backend services, taking responsibility for the quality, testing, security and maintainability of generated code. Enable business-owned front ends. Where business teams develop and maintain their own interfaces, own the backend and provide documented APIs, reusable templates, examples and practical coaching so colleagues can work effectively with AI-assisted coding tools. Establish clear ownership and support arrangements. Agree responsibilities for application changes, testing, releases and ongoing support, including appropriate review and deployment controls for business-maintained front ends. Build secure, reusable backend services. Design APIs and application services that enforce authentication, authorisation, input validation and business rules, keeping secrets and sensitive operations within controlled backend systems. Engineer reliable agentic workflows. Implement appropriate evaluation, monitoring, audit trails and safeguards, including constrained tool permissions, human approval for consequential actions and safe handling of failures or unreliable model outputs. Maintain strong data foundations. Design, build and enhance Python-based batch and streaming pipelines, trusted datasets and reusable data models that support applications, analytics, reporting and operational workloads. Own key platform components. Take ownership of relevant backend and data-platform services, using AWS services including S3, Lambda, Aurora PostgreSQL, Athena, Glue and Redshift to deliver secure, resilient and cost-effective solutions. Enable safe, repeatable delivery. Build and maintain orchestration, CI/CD workflows, automated testing, deployment processes, monitoring and operational support for applications and data workflows. Improve resilience and performance. Apply robust error handling, idempotent processing, retry and recovery mechanisms, and backfill or replay capabilities to improve reliability, scalability and operational performance. Apply engineering and governance standards. Contribute to standards for data quality, documentation, observability, security and access management, including least-privilege access, database permissions and secure secrets handling. Provide technical leadership. Review designs and code, mentor engineers and guide business application builders, helping raise engineering quality across both manually written and AI-generated software. Improve shared capabilities. Identify opportunities to simplify delivery, reuse application patterns and enhance platform capabilities, contributing to technical roadmaps and engineering practices across the Data & Analytics team. Candidate Profile Essential Strong experience designing, building and operating production-grade data pipelines and platforms using Python. Experience building and supporting Python web applications, backend services and APIs that integrate data and business systems. Practical experience developing applications or workflows that use large language models or AI agents, including connecting them to tools, APIs and governed data sources. Experience using AI-assisted coding tools effectively, with the ability to understand, review, test, debug and maintain generated code rather than relying on generated output without validation. Ability to either build usable web front ends with AI-assisted tools or enable business colleagues to develop and maintain front ends against well-defined backend services. Sufficient understanding of web development to review integrations and troubleshoot application behaviour is required; deep specialist front-end expertise is not essential. Strong hands-on experience with modern orchestration, automated testing, CI/CD, deployment and monitoring practices in production environments. Experience building cloud-based solutions using AWS services, including data storage, processing and query technologies. Strong understanding of data modelling, schema design, data quality and performance optimisation across relational and analytical systems. Experience working with both batch and streaming data pipelines, including operational support, troubleshooting and designing systems that recover gracefully from failures. Strong understanding of security, access control and governance for cloud-based data platforms and applications, including authentication, authorisation, IAM, database permissions and secure secrets management. Practical understanding of the reliability and security considerations of agentic applications, including permission boundaries, evaluation, auditability and appropriate human oversight. Experience providing technical leadership as a senior individual contributor through design reviews, code reviews, engineering standards and mentoring. Ability to collaborate effectively with technical and non-technical stakeholders, translate business requirements into practical, scalable solutions and explain technical concepts clearly. Ability to coach business colleagues in AI-assisted application development and establish clear boundaries between business-owned interfaces and engineering-owned services. Desirable Experience with Python web application frameworks such as Streamlit, Flask or FastAPI. Working knowledge of JavaScript or TypeScript and a modern front-end framework. Experience with agent orchestration, retrieval over business data, or automated evaluation of AI-enabled applications. Experience with Prefect or a similar workflow orchestration platform. Experience with streaming or data collection technologies. Experience with PostgreSQL, Redshift, ClickHouse or similar database and data warehouse technologies. Experience with Infrastructure as Code and reusable application deployment patterns. Familiarity with dbt and analytics engineering practices. Experience improving observability, operational monitoring, application performance and cloud cost optimisation. Experience contributing to technical roadmaps and platform improvements within a collaborative engineering team. Experience working within a fast-moving technology or engineering environment. Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

About us 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 seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems. The Team The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment. Responsibilities and Duties Lead advanced break-fix troubleshooting for server blades, motherboards, power systems, and rack-scale infrastructure. Support engineering bring-up activities, including component validation and firmware interaction testing. Diagnose system-level failures involving thermal behavior, power anomalies, network configuration, and BIOS/BMC issues. Collaborate with server engineering teams to perform root cause analysis and propose corrective actions or design improvements. Support deployment and rollout of next-generation hardware platforms through structured validation and qualification cycles. Interface with facilities and infrastructure teams to understand environmental factors impacting system reliability. Develop and maintain standard operating procedures (SOPs), troubleshooting guides, and validation documentation. Provide guidance and mentorship to junior technicians and engineers on troubleshooting methodologies and hardware diagnostics. Participate in on-call rotations or off-hours support during critical engineering milestones or hardware bring-up phases. Candidate Profile Essential Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related discipline. 10+ years experience with server hardware architectures and board-level debugging. Experience analyzing system logs, hardware telemetry, and power/thermal metrics to isolate hardware failures. Hands-on experience with HPC systems, AI compute platforms, or rack-scale infrastructure. Strong collaboration skills and ability to work effectively in fast-paced engineering environments. Excellent written and verbal communication skills. Desirable Experience supporting prototype or pre-production hardware bring-up. Familiarity with data center facilities, including liquid cooling and power distribution systems. Experience using Python, Bash, or automation tools for hardware validation or troubleshooting. Exposure to structured failure analysis and reliability engineering methodologies. USA Benefits In addition to a competitive salary, Graphcore offers flexible working and a comprehensive benefits package designed to support your health, wellbeing and financial future. Our benefits include medical, dental and vision coverage, Flexible Spending Accounts (FSAs), Health Savings Accounts (HSAs), disability and life insurance, a 401(k) retirement plan, commuter benefits, wellness services and an Employee Assistance Programme (EAP). We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.