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Help us use technology to make a big green dent in the universe! Kraken powers some of the most innovative global developments in energy. We create the technology that redefines utilities and unlocks a new energy system of the future. By optimising renewable generation, building a more intelligent grid, and empowering utilities to deliver an exceptional customer experience, our operating system is transforming the industry worldwide. It's an incredibly exciting time to work in energy. Join us on our mission to improve the lives of ONE BILLION humans within the decade and shape a cleaner, better future for everyone. 🏠 Where you'll fit in: Kraken's technology is written and maintained by a multi-discipline engineering team of around 1,400 people globally, which includes server-side, client-side, and mobile engineers. We follow an agile way of working, where individual teams are given the freedom to choose the tools that are most appropriate for managing their work. Kraken is a great place to learn, work with talented engineers and level-up your skills. Some of our coding conventions are open-source. Our technology Our backend developers use Python. Most of our websites are powered by Django and GraphQL (Graphene). Our CircleCI CI/CD pipeline runs tens of thousands of tests, deploying into AWS EKS defined by Terraform over 100 times per day and observed with tools like Sentry and Datadog. This allows us to move fast and at scale, without compromising reliability. Teams work differently but the commitment to quality is the same. Developers at Kraken are empowered to use cutting-edge AI tools and models. Any generated code is still owned by a human. What we do Kraken Engineering has multiple disciplinary groups with their own management structures and teams working together to create a unified Kraken that can be deployed to any territory in the world to achieve clients' goals. Client Engineering is the development arm responsible for making sure our clients receive the best possible experience and their needs are met with high quality solutions. 🚀 What you'll own We have lots of difficult design challenges to solve. The French energy market is complicated, outdated and process-heavy - there's an awful lot of domain modelling that we need to get right. Strong attention to detail is essential. You will be working in a multi-disciplinary software engineering team; solving design challenges; domain modeling; solving technical problems; engineering solutions for smart meters, writing robust fault-tolerant software primarily in Python and Django, Celery, and async processing We have challenging technical problems to solve; like processing tens of millions of meter readings a day. We need the right technology in place to handle this smoothly as well as feeding data into a machine learning pipeline that models and predicts consumption. Or thinking about how we adapt Kraken to improve other utilities like water and broadband. There's a great opportunity for disruption in the French energy market. The big suppliers still dominate, but are not exactly popular. The energy landscape is changing as we move to more dis-aggregated forms of generation, with less predictability, more dynamism and smarter technology. 🧠 What you bring to the party Python (minimum 7 y.e.) Django (or equiv. web framework) Fluent in French, and level B2 at least in English Domain modelling HTTP and REST APIs Writing robust and fault-tolerant software Celery and async processing Postgres ⭐️ Bonus points AWS Terraform, Packer, Consul React and Redux Kraken is a certified Great Place to Work in France, Germany, Spain, Japan, Australia, and USA. In the UK we are one of the Best Workplaces on Glassdoor with a score of 4.5. Check out our Welcome to the Jungle site ( FR / EN ) to learn more about our teams and culture. Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential. If you have any specific accommodations or a unique preference, please contact us at ----- and we'll do what we can to customise your interview process for comfort and maximum magic! Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. Across Kraken, we're looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. We consider all applicants without regard to race, colour, religion, national origin, age, sex, gender identity or expression, sexual orientation, marital or veteran status, disability, or any other legally protected status. U.S. based candidates can learn more about their EEO rights here. Our (i) Applicant and Candidate Privacy Notice and Artificial Intelligence (AI) Notice , (ii) Website Privacy Notice and (iii) Cookie Notice govern the collection and use of your personal data in connection with your application and use of our website. These policies explain how we handle your data and outline your rights under applicable laws, including, but not limited to, the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Depending on your location, you may have the right to access, correct, or delete your information, object to processing, or withdraw consent. By applying, you acknowledge that you've read, understood and consent to these terms Are you ready for a career with us? We want to ensure you have the right tools and environment to unleash your potential. If you have any accommodation requests, please contact us at ----- We'll do our best to tailor the experience to your needs so you can feel comfortable, confident and be at your best! Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we're looking for! At Kraken, we're creating a team of genuine, honest, empathetic people. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. We consider all applicants without regard to race, colour, religion, national origin, age, sex, gender identity or expression, sexual orientation, marital or veteran status, disability, or any other legally protected status. Our (i) Applicant and Candidate Privacy Notice and Artificial Intelligence (AI) Notice , (ii) Website Privacy Notice and (iii) Cookie Notice govern the collection and use of your personal data in connection with your application and use of our website. These policies explain how we handle your data and outline your rights under applicable laws, including, but not limited to, the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Depending on your location, you may have the right to access, correct, or delete your information, object to processing, or withdraw consent. By applying, you acknowledge that you've read, understood and consent to these terms Please note that, in line with our current recruitment policy, we are unable to offer visa sponsorship for this position; applicants must have the right to work in the country that they're applying to, at the time of application. Find Jobs in France on Arbeitnow

Location: Bristol, UK Start date: September 2027 Application deadline : Midnight, 29th November 2026 We encourage you to apply early, as we may close applications before the advertised deadline. The Graduate Programme at Graphcore Join Graphcore in a permanent role and start your career with two years of hands-on learning. From day one, you'll be trusted to take ownership, share your ideas and help shape what we're creating. You'll tackle challenging problems alongside a team who support your development and are as excited about your success as you are. What you'll work on Put your technical foundations to work on the cloud platforms that help demanding AI workloads run at scale. As a Graduate Cloud Platform Engineer, you'll help develop, deploy and operate services across Graphcore's high-performance AI infrastructure. Your work will support the systems used by internal teams and Graphcore cloud customers. We believe technology should expand human potential and make progress more accessible. You'll write automation, investigate issues, analyse logs and metrics, and help validate AI hardware and the infrastructure around it. It's a chance to see how Linux, networking, storage and cloud services fit together and contribute to the platforms that make large-scale AI possible. How you'll learn and grow During the two-year programme, you'll build practical experience in Linux, cloud technologies, networking, storage, observability, OpenStack , Kubernetes, continuous integration and delivery (CI/CD), and Infrastructure-as-Code. Hands-on automation and troubleshooting will help you understand how these systems fit together and develop a methodical approach to investigating issues. You'll learn to use logs and metrics to test your thinking and explain what you find. Working with engineers, researchers and Datacentre Operations will help you understand how platform decisions affect the people using these services and develop your technical judgement and communication skills. What we're looking for A bachelor's degree in Computer Science, Software Engineering, IT, Electronic Engineering or a related subject, completed by summer 2027 or within the two years before the programme starts Practical experience using the Linux command line, with scripting or programming skills such as Python or Bash Familiarity with Git or another version-control system, with a clear approach to documentation and code review A methodical approach to troubleshooting and the ability to communicate your findings and work with others You'll be curious about cloud infrastructure, platform engineering or computer systems, with an interest in areas such as networking, storage, containers or observability. You can demonstrate these skills through coursework, a dissertation, personal or team projects, open-source work, placements or other relevant experience. Tell us what you built or investigated, how you approached it and what you learned. Benefits Flexible working: Balance your work and personal life with greater flexibility 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 Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice 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 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 Graphcore At 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. How to apply and what to expect To apply, answer the application questions below and upload your CV and cover letter. We'll let you know the outcome of your application by early December at the latest. If successful, you'll be invited to complete a technical assessment. Candidates who reach the final stage will then be invited to attend in-person assessments in early spring. Ready to put your learning into practice? Start your career in a permanent Cloud Platform Engineer role, with two years of hands-on learning through the Graphcore Graduate Programme. Apply now and help shape what comes next. Find more English Speaking Jobs in United Kingdom on Arbeitnow

Location: Bristol, UK Start date: September 2027 Application deadline : Midnight, 29th November 2026 We encourage you to apply early, as we may close applications before the advertised deadline. The Graduate Programme at Graphcore Join Graphcore in a permanent role and start your career with two years of hands-on learning. From day one, you'll be trusted to take ownership, share your ideas and help shape what we're creating. You'll tackle challenging problems alongside a team who support your development and are as excited about your success as you are. What you'll work on Put your programming skills to work on the firmware that helps Graphcore products start up, communicate and run reliably. As a Graduate Firmware Engineer, you'll help design, develop and deliver firmware for Graphcore's next generation products. Working closely with our silicon and hardware teams, you'll contribute to software that supports hardware bootup, power control, telemetry and monitoring. You'll write firmware to Graphcore standards, review code, contribute to technical discussions and help investigate issues. You'll also work with continuous integration, build systems and Agile practices. Your team and support The Firmware team develops the software that powers Graphcore hardware and silicon. We are involved in the design of hardware and software interfaces. You'll work with engineers across teams through technical design discussions, code reviews, Agile ceremonies, and practical problem solving. Technical evidence and open discussion guide our decisions, with shared responsibility for product quality. 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. From day one you'll contribute your ideas and help colleagues investigate firmware issues. How you'll learn and grow During the two-year programme, you'll build your understanding of how embedded software enables complex hardware systems through hands-on firmware development. Work on bootup, power management protocols, telemetry and monitoring, writing the code that manages how our hardware behaves. Investigating issues will build your problem-solving skills, while continuous integration and build systems will show you how firmware is checked and prepared for delivery. Code reviews and technical discussions with engineers across teams will help you develop your engineering judgement, explain your approach and learn how firmware fits into the wider system. What we're looking for Bachelor's/Master's degree in Computer Science, Electronic Engineering, Maths or a related field Introductory experience with C or Python An understanding of continuous integration, build systems and software packaging best practices An interest in real-time embedded software, verification or complex embedded platforms Curiosity about server architecture, device drivers, operating system kernel development or server firmware security Bring a willingness to learn, ask questions and contribute to technical discussions with colleagues across teams 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. Benefits Flexible working: Balance your work and personal life with greater flexibility 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 Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice 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 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 Graphcore At 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. How to apply and what to expect To apply, answer the application questions below and upload your CV and cover letter. We'll let you know the outcome of your application by early December at the latest. If successful, you'll be invited to complete a technical assessment. Candidates who reach the final stage will then be invited to attend in-person assessments in early spring. Ready to put your learning into practice? Start your career in a permanent Firmware Engineer role, with two years of hands-on learning through the Graphcore Graduate Programme. Apply now and help shape what comes next. Find Jobs in United Kingdom on Arbeitnow

Location: Bristol, UK Start date: September 2027 Application deadline : Midnight, 29th November 2026 We encourage you to apply early, as we may close applications before the advertised deadline. The Graduate Programme at Graphcore Join Graphcore in a permanent role and start your career with two years of hands-on learning. From day one, you'll be trusted to take ownership, share your ideas and help shape what we're creating. You'll tackle challenging problems alongside a team who support your development and are as excited about your success as you are. What you'll work on Put 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 support The 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 grow During 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 for Bachelor's/Master's degree in Computer Science, Maths, Machine Learning, Data Science or a related field Familiarity with Linux or Windows server environments An understanding of networking fundamentals such as TCP/IP, DNS, routing or firewalls Introductory scripting experience with Python, Bash or PowerShell Bring 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. Benefits Flexible working: Balance your work and personal life with greater flexibility 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 Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice 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 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 Graphcore At 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. How to apply and what to expect To apply, answer the application questions below and upload your CV and cover letter. We'll let you know the outcome of your application by early December at the latest. If successful, you'll be invited to complete a technical assessment. Candidates who reach the final stage will then be invited to attend in-person assessments in early spring. Ready to put your learning into practice? Start your career in a permanent IT Infrastructure Engineer role, with two years of hands-on learning through the Graphcore Graduate Programme. Apply now and help shape what comes next. Find Jobs in United Kingdom on Arbeitnow

Location: Bristol, UK Start date: September 2027 Application deadline: Midnight, 29th November 2026 We encourage you to apply early, as we may close applications before the advertised deadline. The Graduate Programme at Graphcore Join Graphcore in a permanent role and start your career with two years of hands-on learning. From day one, you'll be trusted to take ownership, share your ideas and help shape what we're creating. You'll tackle challenging problems alongside a team who support your development and are as excited about your success as you are. What you'll work on Turn 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 support The 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 grow During 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 for Bachelor/Master's degree in Machine Learning, Computer Science, Maths, Data Science, or related field Software development skills and proficiency with a deep learning framework such as PyTorch or JAX An understanding of deep learning architectures, optimisation, evaluation and scaling, with the ability to design, run and explain ML experiments A collaborative approach and willingness to work through unfamiliar technical problems, ask questions and take responsibility 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. Benefits Flexible working: Balance your work and personal life with greater flexibility 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 Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice 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 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 Graphcore At 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. How to apply and what to expect To apply, answer the application questions below and upload your CV and cover letter. We'll let you know the outcome of your application by early December at the latest. If successful, you'll be invited to complete a technical assessment. Candidates who reach the final stage will then be invited to attend in-person assessments in early spring. Ready to put your learning into practice? Start your career in a permanent Machine Learning Engineer role, with two years of hands-on learning through the Graphcore Graduate Programme. Apply now and help shape what comes next . Find more English Speaking Jobs in United Kingdom on Arbeitnow

Location: Bristol, UK Start date: September 2027 Applications deadline : Midnight, 29th November 2026 We encourage you to apply early, as we may close applications before the advertised deadline. The Graduate Programme at Graphcore Join Graphcore in a permanent role and start your career with two years of hands-on learning. From day one, you'll be trusted to take ownership, share your ideas and help shape what we're creating. You'll tackle challenging problems alongside a team who support your development and are as excited about your success as you are. What you'll work on Put 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 support The 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 grow During 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 for Bachelor's/Master's degree in Mechanical Engineering, Electrical Engineering, Physics or a related technical field Curiosity about semiconductor manufacturing, PCBA production or server hardware Comfort using data to investigate problems, explain findings and support decisions, with a practical approach to testing, learning and improving your work Exposure to Python, Linux, Bash, Git or similar engineering tools Bring 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. Benefits Flexible working: Balance your work and personal life with greater flexibility 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 Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice 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 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 Graphcore At 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. How to apply and what to expect To apply, answer the application questions below and upload your CV and cover letter. We'll let you know the outcome of your application by early December at the latest. If successful, you'll be invited to complete a technical assessment. Candidates who reach the final stage will then be invited to attend in-person assessments in early spring. Ready to put your learning into practice? Start your manufacturing operations career across Product Test in a permanent role, with two years of hands-on learning through the Graphcore Graduate Programme. Apply now and help shape what comes next. Find more English Speaking Jobs in United Kingdom on Arbeitnow

Location: Bristol or Cambridge Start date: September 2027 Application deadline: Midnight 29 th November We encourage you to apply early, as we may close applications before the advertised deadline. The Graduate Programme at Graphcore Join Graphcore in a permanent role and start your career with two years of hands-on learning. From day one, you'll be trusted to take ownership, share your ideas and help shape what we're creating. You'll tackle challenging problems alongside a team who support your development and are as excited about your success as you are. What you'll work on Bring your curiosity, bright ideas and problem-solving skills to the chips behind tomorrow's AI systems. As a Graduate Silicon Engineer, you'll join one of our four specialist Silicon teams: logical design, verification, physical design or design for test (DFT). You'll contribute to real chip development, learning from experienced colleagues and building your understanding of how advanced AI chips are designed, verified and prepared for manufacture. Depending on your team, you'll work on areas such as register-transfer level (RTL) design, SOC integration, verification methods, physical implementation or the critical role of DFT. You'll use industry-standard electronic design automation (EDA) tools and take ownership of clear tasks, with support from experienced engineers. How you'll learn and grow During the two-year programme, you'll develop practical silicon engineering skills in the team you join, building on the fundamentals you've learned through your studies and projects. Hands-on tasks will help you learn modern design techniques and use industry-standard EDA tools. You'll build skills in areas such as RTL, verification, timing or physical design, depending on your team's focus. Feedback from reviews and practical problem solving will help you develop your technical judgement, explain your approach and understand how your work fits into the wider chip development process. Bring your curiosity and willingness to learn; we'll support you as you build your knowledge and confidence. What we're looking for On track for, or achieved, a degree in Electronic Engineering, Computer Science or a related subject such as Physics, Maths Good coding skills such as C, C++ or Python An interest in digital design, application-specific integrated circuits (ASICs), verification, physical design, computer architecture or AI compute, and motivation to learn modern silicon design techniques and EDA tools You don't need an engineering background to join us. If you're curious, motivated and enjoy solving problems, we'll teach you the skills you need. You can demonstrate these skills through coursework, a dissertation, personal or team projects, hobbies, internships, work experience or other relevant experience. Tell us what you built or investigated, how you approached it and what you learned. 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 Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice 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 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 Graphcore At Graphcore, we're building next generation AI compute: from semiconductors and software to systems at datacentre 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. How to apply and what to expect To apply, answer the application questions below and upload your CV and cover letter. We'll let you know the outcome of your application by early December at the latest. If successful, you'll be invited to complete a technical assessment. Candidates who reach the final stage will then be invited to attend in-person assessments in early spring. Ready to put your learning into practice? Start your career in a permanent Silicon Engineer role, with two years of hands-on learning through the Graphcore Graduate Programme. Apply now and help shape what comes next. Find more English Speaking Jobs in United Kingdom on Arbeitnow

Location: Bristol, UK Start date: September 2027 Application deadline : Midnight, 29th November 2026 We encourage you to apply early, as we may close applications before the advertised deadline. The Graduate Programme at Graphcore Join Graphcore in a permanent role and start your career with two years of hands-on learning. From day one, you'll be trusted to take ownership, share your ideas and help shape what we're creating. You'll tackle challenging problems alongside a team who support your development and are as excited about your success as you are. What you'll work on Put 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 support The 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 grow During 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 for A degree, or expected degree, in Electronic Engineering, Computer Science or a related field An understanding of computer architecture or digital systems, with an interest in SoC design, AI hardware or high-performance computing Programming experience in Python, Rust, C++ or a similar language Analytical problem-solving skills and clear written and verbal communication, including documenting findings and explaining technical ideas 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. Exposure to register-transfer level (RTL) design, modelling, simulation, PCIe, Ethernet or DDR would be useful. These are additional strengths, rather than essential requirements. Benefits Flexible working: Balance your work and personal life with greater flexibility 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 Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice 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 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 Graphcore At 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. How to apply and what to expect To apply, answer the application questions below and upload your CV and cover letter. We'll let you know the outcome of your application by early December at the latest. If successful, you'll be invited to complete a technical assessment. Candidates who reach the final stage will then be invited to attend in-person assessments in early spring. Ready to put your learning into practice? Start your career in a permanent SoC Architecture Engineer role, with two years of hands-on learning through the Graphcore Graduate Programme. Apply now and help shape what comes next. Find more English Speaking Jobs in United Kingdom on Arbeitnow

Location: Bristol, UK Start date: September 2027 Application deadline : Midnight, 29th November 2026 We encourage you to apply early, as we may close applications before the advertised deadline. The Graduate Programme at Graphcore Join Graphcore in a permanent role and start your career with two years of hands-on learning. From day one, you'll be trusted to take ownership, share your ideas and help shape what we're creating. You'll tackle challenging problems alongside a team who support your development and are as excited about your success as you are. What you'll work on Put your C++ skills to work modelling future AI accelerators before they exist and help shape how Graphcore engineers design them. As a Graduate Software Engineer in Accelerator Modelling, you'll develop, test and refine models and simulations for the next-generation AI accelerators. Your work will help predict performance, power consumption and scalability, giving engineers evidence to compare approaches before hardware decisions are made. You'll investigate how complex workloads behave, contribute to planning, design, implementation and testing, and help other teams integrate future hardware versions. You'll also help scale distributed modelling environments. It's a chance to see how software models connect architectural ideas with future hardware. Your team and Support The Accelerator Modelling Team works across architecture, hardware and software. You'll be working in a small team, team lead and all senior members would support you with every step on your way. Modelling team faces a lot of the unknowns and challenging problems at the cutting edge of AI technology. There's a buddy system in place, so you will always have a point of contact , ready to answer all questions or help with anything. Decisions are driven by evidence from the models and clear engineering judgement. You'll be encouraged to ask questions, challenge existing approaches and share ideas for making things better. How you'll learn and grow During the two-year programme, you'll build practical experience in C++ development, hardware simulation and performance modelling, building skills close to architecture, software and hardware design. Developing and debugging modelling code will help you understand how complex workloads behave and how to test whether a model captures that behaviour. Reviews and feedback will help you develop your engineering judgement and explain the trade-offs you find. Working with architects, engineers and machine learning researchers will show you how modelling results inform hardware decisions and how your work connects to the wider computing system. What we're looking f or Bachelor's/ Master's degree, or equivalent experience, in Computer Science, Maths, Machine Learning, Data Science or a related field Strong C++ programming skills, gained through study, projects, personal coding or practical experience An understanding of computer science fundamentals and an interest in lower-level software The ability to debug complex problems and explain your thinking clearly, with exposure to debugging tools, performance analysis, testing, version control or collaborative software development practices C uriosity about processor architecture, hardware simulation, performance modelling or systems behaviour, and a willingness to ask questions and learn through feedback 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. Benefits Flexible working: Balance your work and personal life with greater flexibility 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 Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice 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 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 Graphcore At 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. How to apply and what to expect To apply, answer the application questions below and upload your CV and cover letter. We'll let you know the outcome of your application by early December at the latest. If successful, you'll be invited to complete a technical assessment. Candidates who reach the final stage will then be invited to attend in-person assessments in early spring. Ready to put your learning into practice? Start your career in a permanent Software Engineer role in Accelerator Modelling, with two years of hands-on learning through the Graphcore Graduate Programme. Apply now and help shape what comes next . Find more English Speaking Jobs in United Kingdom on Arbeitnow

Location: Bristol, UK Start date: September 2027 Application deadline : Midnight, 29th November 2026 We encourage you to apply early, as we may close applications before the advertised deadline. The Graduate Programme at Graphcore Join Graphcore in a permanent role and start your career with two years of hands-on learning. From day one, you'll be trusted to take ownership, share your ideas and help shape what we're creating. You'll tackle challenging problems alongside a team who support your development and are as excited about your success as you are. What you'll work on Use your programming skills and curiosity to help AI models run efficiently on next-generation Graphcore hardware. In AI Compute Libraries & Performance, you'll contribute to C++ libraries and compute kernels for machine learning workloads. Your work will include: Developing compute kernels: Implement and improve operations such as matrix multiplication (GEMM), convolutions, reductions, elementwise operations and fused kernels that combine multiple operations. Understanding and improving performance: Use profiling and microbenchmarks to measure execution speed and investigate how threading, cache locality, memory layout and kernel launch efficiency affect performance. Checking correctness and reliability: Build regression tests and numerical checks, investigate issues and improve the quality of the libraries our customers use. Through these projects, you'll develop practical experience connecting numerical computing with how code runs on hardware, helping deliver software that is fast, accurate and reliable. Your team and support You'll join a team building high-performance compute libraries that help customers get more from Graphcore hardware. Our work brings together machine learning, numerical computing and accelerator performance, with colleagues sharing their expertise to solve engineering problems. You'll contribute to clearly scoped projects and build your skills with guidance from engineers working in performance and low-level software. Together, we use profiling, experiments and technical reviews to compare approaches, understand trade-offs and improve our solutions. Your buddy will help you settle in, get familiar with our tools and ways of working, and find the right people to ask. Your manager will meet with you regularly to agree goals, offer feedback and discuss your development, including time for learning. We welcome different perspectives and make space for everyone to contribute. Questions, alternative approaches and requests for help are part of how we work. As you take on more responsibility, your colleagues will help you work through challenges, and your ideas will be listened to and discussed respectfully. How you'll learn and grow During the two-year programme, you'll build performance engineering skills through hands-on work on compute kernels, benchmarks and tests. Profiling and experiments will help you understand where time is spent and how changes to code and data layout affect performance. Numerical validation and regression testing will show you how to check that an optimisation preserves correct results and continues to work as software changes. Working with specialists and discussing technical trade-offs will help you develop your engineering judgement, explain your findings and connect mathematical operations to efficient implementations on hardware. What we're looking for Bachelor's/Master's degree in Computer Science, Maths, Machine Learning, Data Science or a related field Experience with C++11 Familiarity with Python or scripting tools for automation and testing Understanding of linear algebra, numerical methods or scientific computing, with problem-solving skills and collaborative approach to unfamiliar technical challenges 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. Coursework or experience in machine learning frameworks, parallel programming, code optimisation, maths libraries or performance analysis would be useful. These are additional strengths, rather than essential requirements. Benefits Flexible working: Balance your work and personal life with greater flexibility 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 Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice 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 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 Graphcore At 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. How to apply and what to expect To apply, answer the application questions below and upload your CV and cover letter. We'll let you know the outcome of your application by early December at the latest. If successful, you'll be invited to complete a technical assessment. Candidates who reach the final stage will then be invited to attend in-person assessments in early spring. Ready to put your learning into practice? Start your career in a permanent Software Engineer role, with two years of hands-on learning through the Graphcore Graduate Programme. Apply now and help make AI compute more efficient. Find more English Speaking Jobs in United Kingdom on Arbeitnow

Location: Bristol, UK Start date: September 2027 Application deadline : Midnight, 29th November 2026 We encourage you to apply early, as we may close applications before the advertised deadline. The Graduate Programme at Graphcore Join Graphcore in a permanent role and start your career with two years of hands-on learning. From day one, you'll be trusted to take ownership, share your ideas and help shape what we're creating. You'll tackle challenging problems alongside a team who support your development and are as excited about your success as you are. What you'll work on Put your software skills to work testing how AI and machine learning workloads run on Graphcore accelerator hardware. As a Graduate Software Engineer in AI/ML Test Systems, you'll create representative machine learning workloads and analyse their numerical accuracy and performance. You'll design tests and help improve testing strategies and infrastructure across simulated and physical hardware. You'll also build continuous integration and continuous delivery (CI/CD) pipelines, investigate difficult problems and turn your findings into measurable improvements. Your work will connect machine learning frameworks and models with the hardware beneath them, helping improve software quality and customer experience. Your team and support The Software QA team combines software engineering, automation and data analysis to improve product quality and customer experience. We work extensively with industry-standard machine learning frameworks and models, including contributions to upstream open-source projects. Our team works in small squads, each with ownership of a particular area of software quality. As a graduate, you'll have the opportunity to explore the breadth of our work, gain practical experience across different areas and discover what interests you before settling into a squad. You'll work alongside engineers who investigate problems, share findings and collaborate closely with development teams to improve quality, security and maintainability. Test results, performance data and the needs of the wider software organisation guide our decisions. You'll have a buddy to help you find your feet and a manager who will support your development, explore your career goals with you and help make time for learning. You'll be encouraged to ask questions, challenge existing approaches and take initiative, with experienced colleagues to turn to for guidance as you build confidence and take ownership of your work. How you'll learn and grow During the two-year programme, you'll build practical experience across machine learning, testing, automation and performance analysis. Creating workloads and analysing results will help you understand how software behaves on accelerator hardware. Debugging issues will develop your problem-solving skills and help you connect numerical accuracy and performance to the systems running a model. Work on test infrastructure and CI/CD will show you how automated checks support software development across simulated and physical platforms. Sharing findings with development teams will help you explain technical problems clearly and turn evidence into improvements. What we're looking for Bachelor's/Master's degree in Computer Science, Maths, Machine Learning, Data Science or a related field Strong Python skills and proficiency in C++ Experience working with Linux operating systems and the ability to learn new technologies quickly Exposure to machine learning frameworks such as PyTorch, JAX, Triton or TensorFlow, test automation, CI/CD, data analytics, hardware architectures or compilers would be useful. Experience with distributed workload management systems or machine learning operations (MLOps) pipelines would also be useful. These are additional strengths, rather than essential requirements. Benefits Flexible working: Balance your work and personal life with greater flexibility 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 Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice 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 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 Graphcore At 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. How to apply and what to expect To apply, answer the application questions below and upload your CV and cover letter. We'll let you know the outcome of your application by early December at the latest. If successful, you'll be invited to complete a technical assessment. Candidates who reach the final stage will then be invited to attend in-person assessments in early spring. Ready to put your learning into practice? Start your career in a permanent Software Engineer role in AI/ML Test Systems, with two years of hands-on learning through the Graphcore Graduate Programme. Apply now and help shape what comes next. Find Jobs in United Kingdom on Arbeitnow

Location: Bristol, UK Start date: September 2027 Application deadline : Midnight, 29th November 2026 We encourage you to apply early, as we may close applications before the advertised deadline. The Graduate Programme at Graphcore Join Graphcore in a permanent role and start your career with two years of hands-on learning. From day one, you'll be trusted to take ownership, share your ideas and help shape what we're creating. You'll tackle challenging problems alongside a team who support your development and are as excited about your success as you are. What you'll work on Put your coding skills to work on the infrastructure that helps Graphcore engineers turn code into reliable software releases. As a Graduate Software Engineer in DevOps, you'll help develop and maintain tools for software builds and releases. You'll deploy services using Kubernetes and Docker, and support cloud infrastructure managed through tools such as Terraform. Working closely with teams developing Graphcore's machine learning software stack, you'll help automate repetitive tasks and improve the workflows engineers use every day. You'll join the Software Infrastructure team, building tools that help Graphcore engineers develop, test and release software for their state-of-the-art AI accelerators. An engineering buddy will help you settle in, with senior engineers, tech leads and your manager supporting you as you grow. In your first three months, you'll work with fellow graduates on a project developing new capability that goes into production. It'll be something you can point to and say, "We built that", and continue to own, develop, and maintain long-term. Previous graduates have rolled out ArgoCD to manage the lifecycle of our entire kubernetes estate and Coder to provide development environments for engineers. Coder remains our second highest volume service to this day. Bring your questions and ideas. Take responsibility for your work and speak up when you spot a problem or need support. How you'll learn and grow During the two-year programme, you'll build practical experience in continuous integration and deployment, cloud infrastructure, containerisation, build engineering and release systems, and machine learning operations. You'll see how software moves from development to release and learn what it takes to make that possible at scale. You'll develop the judgement to understand what people need, weigh up different approaches and build solutions they can depend on. Your manager understands the potential graduates bring and will help you build on your foundations, developing the skills and confidence to take on more complex engineering challenges. What we're looking for Bachelor's/Master's degree in Computer Science, Maths, Machine Learning, Data Science or a related field Knowledge of Python, Go, C++ or a similar programming language. Experience developing or managing systems in Linux environments An understanding of continuous integration and continuous delivery (CI/CD), with the communication skills to explain your work and collaborate with others 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. Exposure or experience in Kubernetes, OpenStack, infrastructure as code tools such as Terraform or OpenTofu, GitHub Actions, build tools, high-performance computing (HPC), Grafana or cloud services such as AWS would be useful. These are additional strengths, rather than essential requirements. Benefits Flexible working: Balance your work and personal life with greater flexibility 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 Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice 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 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 Graphcore At 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. How to apply and what to expect To apply, answer the application questions below and upload your CV and cover letter. We'll let you know the outcome of your application by early December at the latest. If successful, you'll be invited to complete a technical assessment. Candidates who reach the final stage will then be invited to attend in-person assessments in early spring. Ready to put your learning into practice? Start your career in a permanent DevOps role, with two years of hands-on learning through the Graphcore Graduate Programme. Apply now and help shape what comes next. Find Jobs in United Kingdom on Arbeitnow