Software Engineering Graduate Jobs in Bristol

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 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.

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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