Graphcore

This is a Graduate Firmware Engineer role focused on embedded systems and hardware-level software, where you develop and maintain the low-level firmware that boots and controls Graphcore’s AI hardware and silicon.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 10 days ago

This is a Graduate Software Engineer role focused on compiler and ML framework development using Triton (and Python/C++), where you help optimise how machine learning models run efficiently on Graphcore’s AI hardware.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 10 days ago

This is a Graduate Software Engineer role focused on AI frameworks (mainly PyTorch and Triton), where you help ensure Graphcore’s AI hardware works efficiently with popular machine learning tools used by researchers and developers.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 10 days ago

This role is a Graduate Machine Learning Engineer position where you work on building, testing, and optimising advanced AI models (like large language models and vision models) so they run efficiently on Graphcore’s specialised AI 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 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 10 days ago

This is a Graduate Software Engineer role focused on AI hardware and high-performance computing, where you will build and optimise machine learning “kernels” in C++ to make AI models (like CNNs and LLMs) run faster and more efficiently on specialised hardware.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 10 days ago