Software Engineering Graduate Jobs in Bristol

This entry-level QA role focuses on executing test plans to thoroughly evaluate product updates and changes before live deployment.The QA team plays a critical role in ensuring that all product changes implemented by the Business are rigorously tested, ensuring that quality of product is maintained within the live environment.As a member of this group, you will be responsible for executing tests in a timely and effective manner, while clearly and concisely communicating all test activities.Key ResponsibilitiesExecute test plans on releases, providing regular updates on progress and qualityRecord and track product defects, liaising with developers and Business Analyst for resolutionAdhere to test policy and procedures, and contribute towards the continued improvement of themAssist with validation of support tickets; assistance will be required to define/agree test casesDevelop good communication skills to use with colleaguesDevelop a basic understanding of the tools used by the teamUnderstand and apply basic SDLC and Test processHandle confidential information in line with the firm's data security protocolsReview business requirements, user stories, and acceptance criteriaAssist with the creation or documentation of user stories and acceptance criteriaSkills, Knowledge and ExpertiseA degree in Information Technology or relevant industry experienceIf the candidate has not studied at degree level, experience in a commercial environment, good industry/company product knowledge or evidence of self-learning is requiredA keen interest in IT and software developmentCompetent in the use of Microsoft OfficeGood inter-personal skills and the ability to work on own as well as a team playerDemonstrable good analytical and problem solving skillsGood communication skills, both written and verbalShows a keen interest in expanding knowledge and be able to adapt to new technologies quicklyAble to prepare basic documentation and reportsCapable of reading and executing instructions/steps in a test plan to a good levelDesirableAny software testing experience/knowledge would be an advantageAny legal industry experience/knowledge would be an advantage

Posted 4 days ago

Based primarily out of the Bristol office, this entry-level engineering position kicks off with a structured internal training programme covering mathematical system modeling and control theory before transitioning candidates into developing complex control algorithms and vehicle plant models for live marine and aerospace applications.Due to expanding project needs, Stirling Dynamics are looking for multiple talented engineers who are looking for new opportunities to develop and grow their skills towards a career in Modelling and Simulation. Modelling and Simulation has always been at the core of Stirling Dynamics' capabilities, and we have been at the forefront of developing modelling techniques and model-based design activities for over 30 years. The successful candidates will be put on an internally run training programme, teaching them the technical skills they need for the role, before working on live projects within the marine industry. This is an exciting opportunity for candidates with an interest in modelling and simulation, allowing them to work within a team responsible for the development of complex control algorithms and vehicle and system plant models for next generation marine and aerospace applications. The ideal candidate would be a recent graduate or someone who has an extensive engineering experience but would like to change career path towards modelling and simulation. They will have strong interpersonal skills and the ability to work and collaborate within a team of engineers.Due to the nature of the projects that we are involved in, candidates must be UK citizens and eligible to obtain UK security clearance (SC). This role will be predominantly based in our Bristol office with occasional travel to our clients’ sites as required. As part of our commitment to flexibility, employees can work part of the week from home. Applications close on the 29th June 2026.ResponsibilitiesThe initial training will focus on mathematical modelling of physical systems, such as:Hydraulic modellingTransfer function/state-space representationsModelling processDesign requirement developmentTrade studies The training will also focus on control theory, such as:Phase/Gain marginBode plotsSystem stabilityPID tuningControl architectures etcThe role will initially be focused on marine projects but there may be opportunities to work across our other business areas in the future. There will be opportunities to work across all stages of the design cycle from concept phase through to in service queries with root cause analysis and problem solving, giving the candidate a broad range of experience to support them in the development of their career. The candidates will broaden their wider engineering skills by working in multi-disciplinary teams, engaging with customers, and helping contribute to the internal modelling techniques and processes. Candidates will have the following responsibilities:Work with the technical lead, developing, and adapting models representing the system under investigationCarry out modelling analysesAuthor technical documentation, including model description documents and analysis reports.QualificationsCandidates will ideally be degree qualified (or equivalent), in a related discipline preferably Mathematics, Aerospace Engineering, Mechanical Engineering, Physics, Electrical Engineering or a similar course with high numeracy content.Essential skillsThe personal qualities of the candidates will be key to success in this role; candidates must be able to identify with the characteristics and qualities detailed below:ConfidentialityFlexible, can-do approachAbility to deal with multiple conflicting requestsProfessional attitudeSelf-motivated to see tasks through to successful completionDesired skillsPythonC/C++Electro-mechanical actuator experienceMulti-body dynamicsUnderstanding of control theoryEmbedded systemsExperience with Speedgoat, Beckhoff or similarReal time modelsExperienceTraining will be provided but experience in any of the following is beneficial:Matlab/SimulinkHydro-actuated systemsElectro-mechanical actuated systemsMulti-body simulationVehicle dynamicsSystems engineeringControl TheoryCode developmentBenefitsComprehensive Training: Get hands-on experience in various engineering disciplinesCareer Growth: Build a strong foundation for a thriving career in engineeringSupportive Community: Be part of a team that values your development and successSalary of £32,500 - £35,000 depending on experience

Posted 5 days ago

This role focuses on designing, implementing, and optimizing software to integrate Graphcore's machine learning accelerators with state-of-the-art frameworks like PyTorch and Triton, utilizing Python in an agile SCRUM environment.About UsGraphcore is one of the world’s leading innovators in Artificial Intelligence compute.  It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job SummaryReporting to a Team Lead in the frameworks team you will play a pivotal role in designing, implementing, optimising, maintaining and supporting the software required to ensure the machine learning accelerators that Graphcore develop enjoy first-class support in state-of-the-art machine learning frameworks such as PyTorch and Triton. This role sees you joining our PyTorch team, where you will be part of a SCRUM team working on delivering new features, optimise performance, reviewing code changes, writing technical documentation, working with upstream communities, maintaining the code base and supporting users. In this role you will closely collaborate with other engineers, both within the PyTorch team as well as other engineering teams. You will contribute to the delivery of complex, open-ended technical tasks and develop deep expertise in the PyTorch project. You understand the importance of managing code quality and code complexity and balancing this against the team’s goals and deadlines. The TeamThe Frameworks team ensures Graphcore hardware works seamlessly with the tools that ML engineers and researchers love – Pytorch, Triton and in future, Jax and TensorFlow. We’re a talented and diverse team of engineers and we foster a culture of collaboration, openness and learning. All our software teams follow agile working practices, and we care deeply about both ease-of-use as well as performance. We work closely work with other Graphcore teams as well as leading open-source communities. By joining us, you’ll join our exciting journey on the cutting edge of the machine learning industry. Your contributions will make a real difference – enabling machine learning engineers and researchers to unlock the full potential of Graphcore’s hardware. Responsibilities and DutiesSupporting the design and implementation of new features & maintaining and supporting existing features. Developing and maintaining unit tests, component tests and integration tests. Optimising the software stack to make it more performant for our users. Managing code quality, code complexity and technical debt. Contributing to documentation, including user manuals and tutorials. Conducting code reviews. Resolving regressions, performance issues and software defects. Contribute to continuous improvements to improve ways of working. Working with upstream open-source development teams. Candidate Profile Essential:Bachelor or Master's in Computer Science, Maths, Machine Learning, Data Science, or related field Experience of Python development. At least one of: Experience of compiler development. Experience of using and/or development of ML Frameworks. Experience in a computationally intensive engineering field. Desirable:Demonstrable knowledge of AI/ML. Understanding of computing architectures. Experience of maintaining and supporting a complex code base. Experience in profiling / optimising high performance code. Experience of writing ML kernels. BenefitsIn addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. 

Posted 11 days ago

This position focuses on using C++ and Python to design, implement, and test software simulations of upcoming AI hardware, collaborating in an agile scrum team to integrate modelling capabilities into the ML stack.About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary As a member of the Modelling team you will contribute to the planning, design, implementation and testing of software implementation of the upcoming AI hardware. You will also help other teams to integrate future versions of hardware and help them to scale out distributed modelling environments. You will report to modelling team manager. The TeamThe Modelling team forms a part of larger frameworks group – working closely with framework engineers developing Graphcore’s cutting edge AI solution. The Modelling team is also working on the integration of modelling and profiling capabilities into the ML stack. Responsibilities and DutiesSupporting the design, implementation, testing and documentation of the future hardware at the highest standard using C/C++/Python programming languagesParticipate in agile development – working as part of a scrum team to develop the right software at paceCommunicate effectively and contribute regularly to technical discussions with your peers in software and hardware engineering, with architects and other stakeholdersHands-on during key product development phases involving close working with framework teams to enable fast time to market deliveryCandidate Profile Essential:Bachelor or Master's degree in Computer Science, Maths, Machine Learning, Data Science, or related fieldGood C++ knowledgeGood understanding of lower-level software stack and interactions with the hardware layerPossess effective problem-solving skills, familiar with a full suite of debug and performance analysis tools and techniquesExcellent written and verbal communication skills, work well within a multinational team and with multinational customers. Excellent cultural awareness is essential.Desirable:Previous hardware simulation or modelling experience.BenefitsIn addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. 

Posted 11 days ago

This graduate position within the Infrastructure Solutions team focuses on supporting and maintaining internal IT environments (servers, storage, and networking) that power next-generation AI workloads. You will assist with cloud platform operations, participate in automation and infrastructure-as-code initiatives, and monitor system performance and security.About us At Graphcore, we’re building the future of AI compute. We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.The TeamGraphcore is seeking a motivated and curious Graduate IT Infrastructure Engineer to join our Infrastructure Solutions team. This is an exciting opportunity to develop deep technical expertise while supporting the systems that power next-generation AI workloads across the business.The Infrastructure Solutions team designs, builds, and supports the IT environments that enable our engineers to innovate at scale. We work across on-premise infrastructure, cloud platforms, networking, automation, and security — ensuring performance, resilience, and reliability throughout the organisation.As a graduate, you’ll gain exposure to enterprise-scale infrastructure and cutting-edge AI hardware environments while learning from experienced engineers.Responsibilities and DutiesSupporting and maintaining internal IT infrastructure (servers, storage, networking, virtualisation)Assisting with cloud platform operations (e.g. AWS, Azure, GCP)Contributing to automation and infrastructure-as-code initiativesHelping monitor system performance, reliability, and securityTroubleshooting technical issues and supporting root cause analysisWorking collaboratively across engineering and IT teamsParticipating in infrastructure improvement projectsYou’ll be supported with structured learning, mentorship, and increasing responsibility as your skills develop.Candidate ProfileBachelor’s or Master’s Degree in Computer Science, Maths, Machine Learning, Data Science, or related field. Passionate about infrastructure, cloud technologies, and systems engineeringFamiliar with some of the following (through study, projects, or internships):Linux or Windows server environmentsNetworking fundamentals (TCP/IP, DNS, routing, firewalls)Cloud platforms (AWS/Azure/GCP)Scripting (Python, Bash, PowerShell)Virtualisation or containerisation (VMware, Docker, Kubernetes)Analytical, methodical, and eager to learnStrong communicators who enjoy problem-solving in a team environmentWe don’t expect you to know everything — we value curiosity, initiative, and a willingness to learn.BenefitsIn addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. 

Posted 11 days ago

This degree apprenticeship combines four days of hands-on software development for high-profile defense projects—such as autonomous vehicles and simulation systems—with one day of dedicated university study toward a fully funded degree.At QinetiQ we are creating a workplace that is inclusive; where our differences are not only embraced but make us stronger. A place where we can connect with each other and benefit from the experiences and thinking from people with varied backgrounds, and at different stages in their careers. Role Purpose:You will perform a wide variety of software tasks to support the delivery of projects across the software profession.  You will work effectively with external clients and internal teams and, as part of a team, you will help design, implement and deliver new features and maintain existing software.  You will be given 20% of your working week to cover University commitments as you work towards a degree. Examples of areas that you could be contributing to: Contributing to some of most challenging, high-profile science and technology programmes in the UK and overseas, Developing training & simulation systems to prepare and develop our armed forces, Supporting test and evaluation activities for novel equipment trials and military exercises both in the UK and internationally, Delivering systems that monitor and protect our critical national infrastructure, Developing autonomous air, land and maritime vehicles for military and humanitarian use, Engineering embedded systems that enable robust global navigation or determination of radar or sonar signatures.  Key Accountabilities:Software Design & Development Follow corporate software development processes Adhere to the relevant coding standards. Investigate and fix small software defects Participate in code reviews Production of user documentation Inputting to software product development roadmaps. Delivery of technical output to time, cost and quality Adhere to the QinetiQ Values Start to develop specific communication skills e.g. presentation skills, report writing skills and the positioning of advice to customers. Begin working towards membership of an appropriate professional body, or similar accreditation. Submit timesheets on a weekly basis Attend team meetings and Q Talk  Complete all mandatory training as instructed Maintain record of competency on Learning Zone Solicit feedback at the end of each project via PDR system Raise work concerns / issues to your line manager immediately. Self-aware for signs of stress and ensure this is communicated to your line manager immediately  Key Capabilities/Knowledge:Have a strong interest and/or experience within Software Engineering. Some knowledge of at least 1 object-oriented software language. Good problem-solving ability. Any work experience within a computing or engineering industry is beneficial. Extra-curricular &/or hobbies in Software Engineering or Computer Science is beneficial. Any Agile, Cloud, DevOps or embedded software experience is beneficial.  Experience and Qualifications:You will need to have obtained or be studying towards minimum of a 104-112 points* at A-Level (Grades BBC) OR an equivalent e.g. BTEC DMM.  This must include Maths and a Science related subject. You must also have at least a grade 5 (C) in Maths, IT, Science, English & at least one other at GCSE or an equivalent. Our Benefits (the list is not exhaustive):On demand learning, access to courses, modules, and lectures via multiple digital learning platformsCoaching and Mentoring25 days annual holiday excluding bank holidayMatched contribution pension scheme, with life assuranceFlexible Benefits packageEmployee discount portalEmployee Assistance ProgrammeEmployee-led networks Security:Many of our roles at QinetiQ are subject to national security vetting. Applicants who already hold the appropriate level of vetting may be able to transfer it upon appointment, subject to approval. Many roles are also subject to restrictions on access to information, which means factors such as nationality, previous nationalities held and the country in which you were born may impact your role.

Posted 15 days ago

This role involves developing and optimizing state-of-the-art machine learning models for specialized semiconductor hardware, focusing on benchmarking, scaling to thousands of accelerators, and conducting experiments on novel AI methods.About us At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.Job SummaryAs a Graduate Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. Working closely with the Software development and Research teams, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. This role is ideal for someone who loves working hands-on with models, has a strong foundation in ML fundamentals, and wants to push the boundaries of AI performance in real-world systems. The TeamThe Applied AI team’s role is to understand the latest AI models, applications, and software to ensure that Graphcore’s technology works seamlessly with the AI ecosystem. We build reference applications, contribute to key software libraries e.g. optimising kernels for efficiency on our hardware, and collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for different modalities and applications. Responsibilities and DutiesImplement state-of-the-art machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators. Evaluate new software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews. Benchmark models and key model components to identify performance bottlenecks and improve model efficiency. Design and conduct experiments on novel AI methods, analyse and report results clearly. Collaborate with Research, Software, and Product teams to define, build, and test Graphcore’s next generation of AI hardware. Stay current with AI research and actively engage with the broader AI and open-source community. Candidate Profile Essential:Bachelor’s/Master's degree in Machine Learning, Computer Science, Maths, Data Science, or related field. Proficiency in deep learning frameworks such as PyTorch/JAX and strong software development skills. Solid understanding of deep learning fundamentals — architectures, optimisation, evaluation, and scaling. Capable of designing, executing and reporting from ML experiments. Comfortable working in a fast-moving, occasionally ambiguous environment. Enjoy cross-functional work collaborating with other teams. Desirable:Experience in one or more of: Development of deep learning models including large generative models for language, vision and other modalities; Low-precision/efficient compute; Distributed training of large-scale ML models. Experience writing high performance C++/Triton/CUDA kernels. Contributions to open-source projects or published research. Familiarity with cloud platforms and ML infrastructure. Enthusiasm for presenting, publishing, or engaging in the AI community. BenefitsIn addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. 

Posted 16 days ago

A graduate research role developing innovative security technologies (cybersecurity, AI, and software engineering).Who We Are:Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.Job Description:This is a rare chance for an ambitious highly motivated new graduate to join an industrial research Lab: The Security Lab in HPE Labs. We offer you a unique opportunity to build a career constantly learning new technologies and exploring your innovative ideas. You’ll be collaborating with HPE colleagues around the world and with our external collaborators on various open-source projects.HPE Labs is an international research organisation with its headquarters and largest facility located in Milpitas, California. As the central research organisation for Hewlett Packard Enterprise (HPE), HPE Labs' purpose is to deliver breakthrough technologies and technology advancements that provide a competitive advantage for the company, by investing in fundamental science and technology in areas of interest to HPE and getting the resulting technologies ready for adoption into new and existing markets.We are seeking a new graduate to join our research team in Bristol, UK or Galway, Ireland. The ideal candidate will thrive on looking for new innovative ways to solve problems. They will have very strong implementation skills and enjoy building robust product-ready prototypes to test and demonstrate their ideas. They will be comfortable co-designing systems and solutions with colleagues and owning the implementation of significant components.The Security Lab researches and develops foundational security capabilities for HPE products and services in collaboration with our business units, supply chain, partners and the open-source community. Our current projects include confidential computing, post-quantum cryptography, security of AI and applications of AI to security.What you’ll needA completed Bachelor’s or Master’s degree in 2025, or expected to graduate in 2026 with focus on Computer Science or related disciplineStrong implementation skills with experience in one or more of the following programming languages: Python, Rust, C, or GoGood understanding of computer architecture, operating systems, and networkingStrong written and verbal communication skills, with professional proficiency in EnglishExcellent analytical and problem-solving abilitiesEnjoy collaborating with others and can also work independently when neededWhat we’d prefer you bring: Knowledge of system security principles and techniquesWhat you can expect from us:Initial extensive onboarding to support you with adjusting into the roleOngoing learning and development throughout the duration of the programBe mentored by at least one senior member of the team and into a true professional with valuable relationships and international working experience Competitive salary and great benefitsGreat work-life balance including hybrid working and Wellness Fridays initiativeAdditional Skills:Accountability, Accountability, Action Planning, Active Learning, Active Listening, Bias, Business, Calendar Management, Coaching, Computer Literacy, Creativity, Critical Thinking, Design Thinking, Empathy, Follow-Through, Group Problem Solving, Growth Mindset, Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity, Office Administration, Policy and procedures, Recordkeeping, Risk Assessment, Software Development {+ 5 more}What We Can Offer You:Health & WellbeingWe strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.Personal & Professional DevelopmentWe also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.Unconditional InclusionWe are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Posted 26 days ago