Graphcore

This entry-level firmware and embedded systems engineering scheme focuses on hardware bootup and hardware-software interface development, training recent quantitative graduates to write code that enables silicon interaction, present system monitoring data, and resolve firmware-related problems.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 SummaryReporting to the Firmware Manager, the Graduate Firmware Engineer will contribute to the design, development and delivery of the firmware that powers our next generation products. They are expected to take part in technical discussions across multiple teams within Graphcore and our partners.The TeamThe firmware team writes the software that ensures the full and complete bootup of Graphcore Hardware and Silicon. We design and maintain interfaces to allow our Drivers software to interact with Graphcore Silicon. We present telemetry and monitoring data for use by the host system via the SMBus interface, and by data centre operatives via the BMC.Responsibilities and DutiesSupport the design, development and delivery of firmware code to the expected Graphcore standardsParticipate in technical design discussions within the Firmware team, other teams within Graphcore and our partnersParticipate in code reviews individually and as part of the teamParticipate in Agile ceremonies and actively improve Agile best practices within the teamContribute to and take part in in-depth technical design discussions with team members, bringing new ideas and innovative techniques to the team where possibleSupport engineers within the team and other teams to investigate and resolve firmware-related problems with our productsCandidate ProfileEssential:Bachelor's or Master’s Degree in Computer Science, Maths, Machine Learning, Data Science, or related fieldUnderstanding of Continuous Integration, build systems and software packaging best practicesIntroductory experience with C or PythonDesirableExperience of designing and implementing real-time embedded software, and subsequent verificationProven ability to understand, build and debug complex embedded platformsA good understanding of server architecture and performance in a datacentre environmentExperience of device drivers and OS Kernel developmentA good understanding of server security from both a hardware and software perspective, and how this applies to the server firmwareBenefitsIn 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 today

This entry-level software frameworks and machine learning compiler scheme focuses on hardware-software co-design and open-source infrastructure alignment, training recent quantitative graduates to implement features for frameworks like Triton and PyTorch, manage code quality within an agile SCRUM team, and optimize software stacks for AI accelerators.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 using machine learning frameworks such as PyTorch and Triton. This role sees you joining our Triton 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. The TeamThe Frameworks team ensures Graphcore hardware works seamlessly with the tools that ML engineers and researchers love – Pytorch, Triton, 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 complex technical tasks with cross-team dependencies.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 ProfileEssential:Bachelor or Master's degree in Computer Science, Maths, Machine Learning, Data Science, or related fieldHands-on experience with Python/C++ development.Practical experience of compiler development.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 using and/or development of ML Frameworks.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 today

This entry-level software engineering scheme focuses on high-performance machine learning kernel development and hardware-aware optimization, training recent quantitative graduates to implement compute kernels for linear algebra and tensor operations using low-level C++ programming.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 SummaryWe are looking for a Graduate Software Engineer to join a team pioneering the development of high-performance machine learning (ML) kernels for a new generation of AI hardware. In this role, you will contribute to building optimised compute kernels that support a wide range of ML operators—powering applications from convolutional neural networks (CNNs) to large language models (LLMs). You'll leverage low-level programming and hardware-aware optimisation techniques to extract maximum performance and efficiency from modern accelerators. This is a unique opportunity to work at the intersection of ML, numerical computing, and scalable systems.The TeamThis is an exciting opportunity to join an expanding team at Graphcore. The Kernel Engineering team is responsible for delivering high performance compute library to help customers gain the maximum performance from AI hardware.Responsibilities and DutiesSupporting the design and implementation of kernels for linear algebra and tensor ops (GEMM, batched GEMM, convolutions, reductions, elementwise and fused operations) in C++Profile and optimise for the next generation of AI hardware - threading, cache locality, memory layout, and kernel launch efficiency.Support performance and correctness - add microbenchmarks, regression tests, numerics validationDebug issues, resolve bugs and generally improve the quality and functionality of the productAbout youYou are open-minded and collaborative with interests in performance optimisation and memory-efficient designs, and you are looking to join a team of experts.You are comfortable to discuss technical tradeoffs, receive feedback and iterate on solutions and you are drawn to technically challenging problems and use analyticals reasoning to navigate unfamiliar domains.Essential:Bachelor or Master's Degree in Computer Science, Maths, Machine Learning, Data Science, or related fieldExperirence in C/C++11.Familiarity with Python or scripting tools for automation and testing.Understanding of linear algebra, numerical methods, or scientific computing.Good problem-solving skills and ability to work collaboratively in a fast-paced environment.Preferred Qualifications:Courseworks or past experience in using ML frameworks, parallel programming, or code optimisation.Exposure to math libraries such as MKL or OpenBLAS.Knowledge of performance analysis tools.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 today

This entry-level semiconductor and silicon engineering scheme focuses on complete AI compute stack development and hardware design, training recent electronic engineering and computer science graduates across logical design, ASIC verification methodologies, and physical design layout workflows.About GraphcoreAt 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. About the roleThe Silicon team are responsible for designing the silicon chips produced by Graphcore in leading node technologies and using the leading EDA Tools. Silicon is divided into three areas, that all work closely together:The Logical design and DFT team; responsible for realising architectural intent in a form that can be physically implemented and subsequently manufacturing level tested. In this team you’ll be iterating with Architectural, Verification, Physical & Operations teams to define the microarchitecture and produce testable RTL as above. The Verification team; ensure that our chips perform in accordance with their specification and that their implementation is similarly accurate. You’ll learn modern CPU and ASIC verification methodologies such as constrained random test generation and functional coverage and use those skills to verify our chips meet their specification. The Physical Design team; take the logical RTL and produce final transistor level layout (GDS) ready to send to a foundry for manufacture. You will gain experience with modern physical implementation steps including, but not limited to, synthesis, place and route, timing analysis, physical design checks, power integrity, logical equivalence. Our designs are in leading edge technology nodes which bring a lot of interesting challenges to solve, a very good environment to learn the latest silicon design techniques. All 3 roles involve using industry standard EDA tools which you will become familiar with. About you We are looking for technical, passionate, and motivated individuals with a desire to learn, work and develop in a technically challenging, fast paced environment.Essential:On track or achieved a 2:1 or above in Electronic Engineering, Computer Science or related subject area Able to evidence your technical skills in C/C++ or Python (2 or 3), for example through hobbies, projects or previous work experience. We are also keen to understand your technical skill level. A highly motivated, curious, self-starter, willing to take action, as proven through extra-curricular activities or hobbies beyond your studies Strong team-working and excellent interpersonal skills Passionate with a keen interest to learn about the exciting new field of AI We are not looking for an instant expert but graduates with the hunger to learn, develop and contribute to Graphcore's future. 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 today

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 17 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 17 days ago

This graduate position within the Silicon Architecture Team focuses on supporting the design, specification, and architectural development of sub-systems within complex System-on-Chip (SoC) next-generation AI acceleration hardware.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 SummaryAs a Graduate SoC Architecture Engineer, you will work as part of our Silicon Architecture Team, supporting the design and development of next-generation AI acceleration hardware. You will contribute to the specification, modelling, and evaluation of sub-systems within complex System-on-Chip (SoC) designs.Working under the guidance of experienced architects, you will collaborate with cross-functional teams—including silicon design, verification, hardware, and software engineers—to help deliver high-performance, highly integrated silicon solutions.This role offers an excellent opportunity to develop your technical skills while gaining hands-on experience in cutting-edge AI hardware development.The TeamThe Silicon Architecture Team sits within the COO group. The SoC architects are responsible for the architectural specification, integration, modelling, validation and evaluation of numerous critical sub-systems, including high-speed interfaces for our upcoming AI acceleration platforms.As a graduate engineer, you’ll be supported by experienced mentors and work closely with a wide range of teams across the business.Responsibilities and DutiesSupport the development of SoC sub-system specifications and design documentationAssist in analysing product requirements and understanding their impact on system design trade-offsCollaborate with architecture, design, and software teams to explore and evaluate technical solutionsContribute to modelling and simulation of architectural features (e.g. using Python or Rust)Assist in the integration and validation of SoC componentsSupport evaluation of third-party IP and emerging technologiesParticipate in silicon bring-up, testing, and performance analysis activitiesDocument findings and communicate technical information clearly to the wider teamContinuously learn and develop technical knowledge in SoC and AI hardware designCandidate ProfileEssentialA degree (or expected degree) in Electronic Engineering, Computer Science, or a related fieldUnderstanding of computer architecture or digital systems (academic or project-based)Experience with programming (e.g. Python, Rust, C++, or similar)Strong analytical and problem-solving skillsGood written and verbal communication skillsEnthusiasm for learning and working in a collaborative team environmentDesirableExposure to hardware design concepts (e.g. RTL, Verilog, or VHDL)Experience with modelling, simulation, or performance analysisInterest in AI, machine learning, or high-performance computingFamiliarity with interfaces such as PCIe, Ethernet, or memory systems (e.g. DDR)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 17 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 17 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 22 days ago