Graphcore

Supports the design, modelling and evaluation of system-on-chip (SoC) architecture for advanced AI hardware, including performance analysis, simulation and silicon validation.What you’ll work onPut your understanding of computer architecture to work on the choices that shape Graphcore’s next generation of AI hardware.As a Graduate SoC Architecture Engineer, you’ll help specify, model and evaluate complex system-on-chip (SoC) subsystems, with guidance from experienced architects. You’ll explore how product requirements translate into technical options, design trade-offs and validation plans.Your work will likely include some of: taking responsibility for the architecture of a chip subsystem or function, modelling architectural features, assessing third-party intellectual property (IP) and supporting silicon bring-up. Working across design, verification, hardware and software teams, you’ll help gather the performance evidence that supports architecture decisions.Your team and supportThe Silicon Architecture team sits within the Silicon group. We stand for practical ambition: clear thinking, careful engineering and curiosity that improves real systems.You’ll work with mentors and experienced architects through design reviews, modelling, simulation, documentation and discussions with neighbouring teams. You’ll take ownership of defined tasks that grow in scope as you develop your skills.Simulations, performance data and design constraints help guide our decisions. You’ll be encouraged to ask questions, challenge existing approaches and share ideas for making things better. Take responsibility for your work and speak up when something needs testing, explaining or support.How you’ll learn and growDuring the two-year programme, you’ll develop your architecture skills through hands-on architectural design + integration, modelling and evaluation of AI acceleration hardware, supported by mentors.Exploring technical options and running simulations will help you understand how architecture choices affect system behaviour. You’ll learn how to compare trade-offs, document findings and use performance evidence to support a decision.Design reviews and work across engineering teams will help you connect specifications to implementation and validation. Supporting silicon bring-up will give you experience of how architectural ideas are checked on real hardware, while tasks that grow in scope will build your technical judgement and confidence.What we’re looking forA degree, or expected degree, in Electronic Engineering, Computer Science or a related fieldAn understanding of computer architecture or digital systems, with an interest in SoC design, AI hardware or high-performance computingProgramming experience in Python, Rust, C++ or a similar languageAnalytical problem-solving skills and clear written and verbal communication, including documenting findings and explaining technical ideasYou can demonstrate these skills through coursework, a dissertation, personal or team projects, research, or other relevant experience. Tell us what you built or investigated, how you approached it and what you learned.Exposure to register-transfer level (RTL) design, modelling, simulation, PCIe, Ethernet or DDR would be useful. These are additional strengths, rather than essential requirements.BenefitsFlexible working: Balance your work and personal life with greater flexibilityRetirement planning support: Up to 5% matched pensionPhantom equity: Share in Graphcore’s successWorkplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your dayPeace of mind protection: Income protection and life assurance to provide financial security for you and your loved onesElectric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrificeFlexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental coverOptional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earnWe 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.SponsorshipApplicants must already have the right to work in the UK for the full duration of the programme, without requiring visa sponsorship. We are unable to sponsor work visas for our Early Careers opportunities.Introduction to GraphcoreAt Graphcore, we’re building next generation AI compute: from semiconductors and software to systems at datacenter scale. We are proud to be owned by SoftBank Group and work with other companies in the SoftBank family to deliver AI compute to customers working at the AI frontier. Starting your career here means working alongside people with different backgrounds and expertise, from AI researchers to chip designers and software engineers. You’ll learn from each other, bring fresh ideas and help solve challenging problems together.

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Supports the testing and manufacturing of AI hardware by analysing product performance data, investigating technical issues and improving production quality, reliability and supply chain processes.What you’ll work onPut your engineering knowledge to work on how advanced AI hardware moves from design into manufacture.As a Manufacturing Operations Graduate across Product Test, you’ll rotate through teams that turn complex AI technology into reliable products. You’ll support silicon package assembly, printed circuit board assembly (PCBA) production, component selection and bill of materials (BoM) management.You’ll analyse manufacturing and product performance data, investigate issues and help shape tests that support better engineering decisions. Your work will help Graphcore deliver high-quality hardware through global manufacturing partners, including production activity in Taiwan.Your team and supportThe Manufacturing Operations group brings together Manufacturing Technology & Process, Product Test, Quality, and Logistics and Procurement. You’ll be based in Bristol, working with colleagues across the UK, Taiwan and India.You’ll learn from experienced people through practical problem solving with engineering teams, operations specialists and external manufacturing partners. Decisions are guided by data, with input from design, test, quality and delivery specialists.You’ll be encouraged to ask questions, challenge existing approaches and share ideas for making things better. Gather evidence, take responsibility for your work and speak up when you spot a problem or need support.How you’ll learn and growDuring the two-year programme, rotations will help you build broad foundations across manufacturing, quality, product test and supply chain.Hands-on work will show you how engineering decisions affect product quality and delivery. You’ll learn to connect manufacturing data with product performance, investigate problems and use tests to compare approaches and guide improvements.Working with specialists across the group will help you understand how each part of the manufacturing process fits together. You’ll build your technical judgement and communication skills as you explain findings and contribute to decisions, with experienced colleagues around you to support your development.What we're looking forBachelor’s/Master’s degree in Mechanical Engineering, Electrical Engineering, Physics or a related technical fieldCuriosity about semiconductor manufacturing, PCBA production or server hardwareComfort using data to investigate problems, explain findings and support decisions, with a practical approach to testing, learning and improving your workExposure to Python, Linux, Bash, Git or similar engineering toolsBring clear communication, willingness to take ownership of your work and openness to sharing your observations when something needs attention You can demonstrate these skills through coursework, a dissertation, personal or team projects, research, or other relevant experience. Tell us what you built or investigated, how you approached it and what you learned.BenefitsFlexible working: Balance your work and personal life with greater flexibilityRetirement planning support: Up to 5% matched pensionPhantom equity: Share in Graphcore’s successWorkplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your dayPeace of mind protection: Income protection and life assurance to provide financial security for you and your loved onesElectric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrificeFlexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental coverOptional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earnWe 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.SponsorshipApplicants must already have the right to work in the UK for the full duration of the programme, without requiring visa sponsorship. We are unable to sponsor work visas for our Early Careers opportunities.Introduction to GraphcoreAt Graphcore, we’re building next generation AI compute: from semiconductors and software to systems at datacenter scale. We are proud to be owned by SoftBank Group and work with other companies in the SoftBank family to deliver AI compute to customers working at the AI frontier. Starting your career here means working alongside people with different backgrounds and expertise, from AI researchers to chip designers and software engineers. You’ll learn from each other, bring fresh ideas and help solve challenging problems together.

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Supports the manufacturing of AI hardware by analysing production data, investigating technical issues and improving quality, cost, delivery and manufacturing processes.What you’ll work onPut your engineering knowledge to work on how advanced AI hardware moves from design into manufacture.As a Manufacturing Operations Graduate, you’ll support silicon packaging and printed circuit board assembly production in Taiwan. You’ll analyse performance data and use test design to investigate hardware and software issues, helping improve quality, cost and delivery.You’ll also contribute to quality planning, audits and process control, alongside component selection and bill of materials management.Your team and supportYou’ll join Manufacturing Operations in Bristol, working alongside Product Test, Quality and Supply Chain. Colleagues across the UK, Taiwan and India collaborate with design teams and development partners to solve manufacturing challenges.Experienced engineers and operations specialists will support you as you contribute to decisions guided by data and customer requirements.Bring your questions and ideas, listen to other perspectives and explore better ways of doing things. Take responsibility for your work and speak up when you spot a problem or need support.How you’ll learn and growDuring the two-year programme, your graduate rotation will show you how engineering decisions affect the finished product and its journey through a global supply chain.You’ll develop the judgement to compare approaches and weigh up trade-offs, alongside project management and communication skills as you organise your work and explain your findings.What we’re looking forBachelor’s/Master’s degree in Mechanical or Electrical Engineering, Physics or a related fieldKnowledge of semiconductor and electronics design and manufacturing principlesAn interest in the process of taking new designs into production, and in the challenges of making high volume manufacturing a successData analysis skills, with the ability to explain findings and support decisions using evidenceYou can demonstrate these skills through coursework, a dissertation, laboratory work, research, personal or team projects, or other relevant experience. Tell us what you built or investigated, how you approached it and what you learned.BenefitsFlexible working: Balance your work and personal life with greater flexibilityRetirement planning support: Up to 5% matched pensionPhantom equity: Share in Graphcore’s successWorkplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your dayPeace of mind protection: Income protection and life assurance to provide financial security for you and your loved onesElectric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrificeFlexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental coverOptional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earnWe 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.SponsorshipApplicants must already have the right to work in the UK for the full duration of the programme, without requiring visa sponsorship. We are unable to sponsor work visas for our Early Careers opportunities.Introduction to GraphcoreAt Graphcore, we’re building next generation AI compute: from semiconductors and software to systems at datacenter scale. We are proud to be owned by SoftBank Group and work with other companies in the SoftBank family to deliver AI compute to customers working at the AI frontier. Starting your career here means working alongside people with different backgrounds and expertise, from AI researchers to chip designers and software engineers. You’ll learn from each other, bring fresh ideas and help solve challenging problems together.

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Supports and improves IT infrastructure operations across servers, storage, networking, cloud platforms, cybersecurity, automation and monitoring.What you’ll work onPut your technical foundations to work on the infrastructure solutions that keeps Graphcore’s engineering teams connected, productive and secure. As a Graduate IS Engineer, you’ll support infrastructure operations, investigate technical issues and contribute to projects that improve reliability, performance and security. Your work will span servers, storage, networking, cloud platforms, automation and monitoring. You’ll learn how these systems support AI engineering at scale, building practical experience with Linux, Windows, scripting and infrastructure as code. It’s a chance to see how the technology behind an engineering organisation works and help make it better.Your team and supportThe Infrastructure Solutions team designs, builds and supports the IT environments that help Graphcore engineers work at scale. The team spans on-premise infrastructure, cloud, networking, automation and security. You’ll learn from experienced engineers through hands-on problem solving, planned projects and technical discussions. You’ll take ownership of useful, well-scoped work early, with support as you build your knowledge and confidence.You’ll gain hands-on experience as you rotate through our IS teams, including Cloud and Application Security, Cybersecurity Operations, Networking, Data Centre Operations and more. Along the way, Martinus and Peter will provide mentoring and support to help you build your skills, grow your confidence and take the next steps in your career.We use evidence, service impact and practical trade-offs to guide our decisions. You’ll be encouraged to ask questions, challenge existing approaches and share ideas for making things better. Take responsibility for your work and speak up when you spot a problem or need support.How you’ll learn and growDuring the two-year programme, you’ll build infrastructure skills by working on real operational issues and improvement projects. Investigating technical issues will help you develop a methodical approach to problem solving and understand how servers, storage, networks and cloud services fit together. Work on scripting, automation and infrastructure as code will give you practical ways to improve how infrastructure is managed. Working alongside experienced engineers will help you weigh up reliability, performance and security, explain your approach and understand how infrastructure decisions affect the teams who depend on these services.What we're looking forBachelor’s/Master’s degree in Computer Science, Maths, Machine Learning, Data Science or a related fieldFamiliarity with Linux or Windows server environmentsAn understanding of networking fundamentals such as TCP/IP, DNS, routing or firewallsIntroductory scripting experience with Python, Bash or PowerShellBring an interest in infrastructure, cloud technologies, systems engineering or platform operations, and motivation to learn through practical problem solving. You can demonstrate these skills through coursework, a dissertation, personal or team projects, internships, hobbies or other relevant experience. Tell us what you built or investigated, how you approached it and what you learned.BenefitsFlexible working: Balance your work and personal life with greater flexibilityRetirement planning support: Up to 5% matched pensionPhantom equity: Share in Graphcore’s successWorkplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your dayPeace of mind protection: Income protection and life assurance to provide financial security for you and your loved onesElectric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrificeFlexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental coverOptional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earnWe 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.SponsorshipApplicants must already have the right to work in the UK for the full duration of the programme, without requiring visa sponsorship. We are unable to sponsor work visas for our Early Careers opportunities.Introduction to GraphcoreAt Graphcore, we’re building next generation AI compute: from semiconductors and software to systems at datacenter scale. We are proud to be owned by SoftBank Group and work with other companies in the SoftBank family to deliver AI compute to customers working at the AI frontier. Starting your career here means working alongside people with different backgrounds and expertise, from AI researchers to chip designers and software engineers. You’ll learn from each other, bring fresh ideas and help solve challenging problems together.

Posted today

Develops and optimises AI models for Graphcore’s advanced accelerator hardware, focusing on machine learning experiments, model performance, profiling and large-scale AI systems.What you’ll work onTurn the models you’ve studied into AI systems that run at scale.  In Applied AI, you’ll help implement, train and optimise advanced models on Graphcore’s next generation hardware, connecting research ideas with systems running across thousands of accelerators.You’ll benchmark models, use profiling to find performance bottlenecks, design experiments and contribute fixes across models, software and accelerator systems. Working with Research, Software and Product teams, you’ll test ideas that could inform future hardware. Your experiments will help us understand what makes a model accurate, efficient and ready to scale.Your team and supportThe Applied AI team acts as a proxy for Graphcore’s customers. We understand current AI models, applications and software, then make sure Graphcore technology works at scale. You’ll work alongside people who write low-level kernels, train large language models and enjoy figuring out challenging AI problems together.Work spans low-level kernel optimisation through to implementing research-level algorithms for new AI models. Engineers move between experiments, profiling, code reviews and technical debate – giving you a view of how different parts of an AI system fit together.Decisions are driven by evidence, performance data and clear engineering judgement. You’ll be encouraged to ask questions, challenge existing approaches and share ideas for making things better. Take responsibility for your work and speak up when you spot a problem or need support.How you’ll learn and growDuring the two-year programme, you’ll build technical range through hands-on work across AI models and accelerator systems.With visibility across the full stack – from novel accelerator hardware and its software stack to state-of-the-art AI applications – you’ll identify opportunities to innovate and differentiate Graphcore’s technology.What we’re looking forBachelor/Master's degree in Machine Learning, Computer Science, Maths, Data Science, or related fieldSoftware development skills and proficiency with a deep learning framework such as PyTorch or JAXAn understanding of deep learning architectures, optimisation, evaluation and scaling, with the ability to design, run and explain ML experimentsA collaborative approach and willingness to work through unfamiliar technical problems, ask questions and take responsibilityYou can demonstrate these skills through coursework, a dissertation, personal or team projects, research, or other relevant experience. Tell us what you built or investigated, how you approached it and what you learned.BenefitsFlexible working: Balance your work and personal life with greater flexibilityRetirement planning support: Up to 5% matched pensionPhantom equity: Share in Graphcore’s successWorkplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your dayPeace of mind protection: Income protection and life assurance to provide financial security for you and your loved onesElectric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrificeFlexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental coverOptional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earnWe 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.SponsorshipApplicants must already have the right to work in the UK for the full duration of the programme, without requiring visa sponsorship. We are unable to sponsor work visas for our Early Careers opportunities.Introduction to GraphcoreAt Graphcore, we’re building next generation AI compute: from semiconductors and software to systems at datacenter scale. We are proud to be owned by SoftBank Group and work with other companies in the SoftBank family to deliver AI compute to customers working at the AI frontier. Starting your career here means working alongside people with different backgrounds and expertise, from AI researchers to chip designers and software engineers. You’ll learn from each other, bring fresh ideas and help solve challenging problems together.

Posted today