Graphcore
Research Scientist (Embodied AI & World Models)
About Graphcore
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 Summary
As a researcher at Graphcore, you will contribute to the advancement of AI research, investigating new ideas that push the limits on important AI/ML problems. Specialised hardware has been the key driver of the progress of AI over the last decade, and we believe that hardware-aware AI algorithms and AI-aware hardware developments will continue to be critical to advancing this exciting field. As such, we’re looking for candidates who are keen scientists and engineers, with the theoretical and practical skills needed for impactful AI research.
We are looking for researchers with experience of AI in low-power, edge and embodied scenarios such as robotics, autonomous driving and augmented/virtual reality. We are interested in the training and deployment of multimodal AI models in these contexts, covering areas such as world models, real-time computer vision, generating and reasoning over audio/video streams.
The Team
Graphcore Research participates in both fundamental and applied research, to characterise the computational requirements of machine intelligence and to demonstrate how hardware can drive the next generation of innovative AI models. We publish at leading AI/ML conferences (NeurIPS, ICML, ICLR) as well as specialist workshops, and collaborate with other research teams and organisations across the world.
We pride ourselves on being a supportive and collaborative team, where we organise around our individual research interests to solve problems together in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications, including for sequence- and graph-based data. We’re based across London, Cambridge and Bristol, with projects and discussions that involve all our locations.
Perhaps the best way to get an idea of what we’re all about is to read one of our papers or an article on our blog. If you’re excited to work at the cutting edge of AI supported by new hardware and want to develop your skills in this area, we’d love to hear from you!
Responsibilities and Duties
- Generate AI/ML ideas, design experiments, implement them & evaluate results.
- Prepare, submit & present your work to AI conferences and workshops.
- Collaborate with researchers, silicon and software engineers at Graphcore to help define, build and test Graphcore’s next generation of AI hardware.
About you:
Essential:
- Master’s, PhD or equivalent experience in a technical discipline (e.g., Maths, Statistics, Computer Science, Physics, Chemistry, Biomedical Engineering).
- Experience in embodied AI, world models or robotics.
- Python programming in a modern deep learning framework, e.g. PyTorch or JAX.
- Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling.
- Capable of designing, executing and reporting from ML experiments.
- Mathematics skills to support the above: calculus, probability theory and linear algebra.
- Experience submitting papers to international scientific conferences or workshops.
Desirable:
- Lower-level programming for hardware efficiency, e.g. C++/CUDA/Triton.
- Practical familiarity with hardware capabilities for deep learning – threads, caches, vector & matrix engines, data dependencies, bus widths and throttling.
- Practical familiarity with software stacks for deep learning – compilation, kernel fusion, XLA/ATen ops, streams, and asynchronous execution.
- Conference or workshop submissions in the fields of embodied AI, world models, or robotics.
Benefits
In 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.
Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications
Ready to apply?
Apply to Graphcore
About Graphcore
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 Summary
As a research engineer at Graphcore, you will contribute to the advancement of AI research, investigating new ideas that push the limits on important AI/ML problems. Specialised hardware has been the key driver of the progress of AI over the last decade, and we believe that hardware-aware AI algorithms and AI-aware hardware developments will continue to be critical to advancing this exciting field. We are therefore looking for individuals who combine strong machine learning experience with practical engineering skills to deliver impactful AI research. We are seeking AI researchers with strong software engineering experience, particularly in lower-level programming and performance optimisation for hardware efficiency. Our research spans a broad range of topics, including efficient training and inference, world models, life sciences, reinforcement learning, and beyond. You will work closely with researchers to generate ideas and translate them into scalable implementations, contributing to publications and projects that help to steer the future of AI hardware.
The Team
Graphcore Research participates in both fundamental and applied research, to characterise the computational requirements of machine intelligence and to demonstrate how hardware can drive the next generation of innovative AI models. We publish at leading AI/ML conferences (NeurIPS, ICML, ICLR) as well as specialist workshops, and collaborate with other research teams and organisations across the world.
We pride ourselves on being a supportive and collaborative team, where we organise around our individual research interests to solve problems together in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications, including for sequence- and graph-based data. We’re based across London, Cambridge and Bristol, with projects and discussions that involve all our locations.
Perhaps the best way to get an idea of what we’re all about is to read one of our papers or an article on our blog. If you’re excited to work at the cutting edge of AI supported by new hardware and want to develop your skills in this area, we’d love to hear from you!
Responsibilities and Duties
- Generate AI/ML ideas, design experiments, implement them & evaluate results.
- Prepare, submit & present your work to AI conferences and workshops.
- Provide technical insight to internal teams by designing experiments and delivering clear, actionable reports.
- Collaborate with researchers, silicon and software engineers at Graphcore to help define, build and test Graphcore’s next generation of AI hardware.
About you:
Essential:
- Master’s, PhD or equivalent experience in a technical discipline (e.g., Maths, Statistics, Computer Science, Physics, Chemistry).
- Python programming in a modern deep learning framework, e.g. PyTorch or JAX.
- Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling.
- Capable of designing, executing and reporting from ML experiments.
- Lower-level programming for hardware efficiency, e.g. C++/CUDA/Triton.
- Practical familiarity with hardware capabilities for deep learning – threads, caches, vector & matrix engines, data dependencies, bus widths and throttling.
- Practical familiarity with software stacks for deep learning – compilation, kernel fusion, XLA/ATen ops, streams, and asynchronous execution
Desirable:
- Mathematics skills to support the above: calculus, probability theory and linear algebra.
- Experience submitting papers to international scientific conferences or workshops.
Benefits
In 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.
Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications
Ready to apply?
Apply to Graphcore
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 Summary
As a research intern at Graphcore, you will advance AI research and investigate new ideas that push the limits on important AI/ML problems. Specialised hardware has driven progress in AI over the last decade, and we believe that hardware-aware AI algorithms and AI-aware hardware developments will continue to be critical to this exciting field. We’re looking for candidates who are keen scientists and engineers, with the theoretical and practical skills needed for impactful AI research.
During your internship, you’ll investigate a research question that relates to machine learning or accelerated computation. Practically, this means designing experiments, implementing models and algorithms, exploring data and presenting results, with the aim to present work publicly to the wider research community. You will be largely self-directed in your research activity, with freedom to pursue the most promising approach, and with the benefit of appropriate mentoring and guidance.
Our team is interested in numerous topics across the field, including (but not limited to) efficient training and inference, improved model capabilities in the areas of factuality and reasoning, image and video generation, world models and molecule generation for life science applications.
The Team
Graphcore Research participates in both fundamental and applied research, to characterise the computational requirements of machine intelligence and to demonstrate how hardware can drive the next generation of innovative AI models. We publish at leading AI/ML conferences (NeurIPS, ICML, ICLR) as well as specialist workshops, and collaborate with other research teams and organisations across the world.
Candidate profile
We’re looking for technically-minded, highly-motivated and adaptable problem-solvers who can thrive in our collaborative team.
Essential
- A PhD student working in the field of Machine Learning and Artificial Intelligence, or be pursuing a Masters degree in a relevant field with demonstrable research experience (for example, interesting ML publications);
- Able to demonstrate your coding skills (Python, C++), for example through projects or previous work experience, and have experience of algorithm implementation in machine learning frameworks such as PyTorch;
- Passionate about the field of AI, both theory and practice, with a keen interest to continue learning.
We are excited to hear about your research! Please provide a short summary of a recent project with your application (and we’d love to hear about any other relevant work).
Benefits
In addition to a competitive salary, our centrally located offices provide a well-stocked kitchen with healthy food, drinks and snacks and our very own barista (Bristol only for now, but we have great coffee everywhere). We have an active social scene too: cycling, yoga, running, board games, table tennis, football, to name a few.
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.
Ready to apply?
Apply to Graphcore
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
The System Software group comprises of the Firmware team, the Drivers and Utilities team and, the System QA team. We are responsible for the enablement of all silicon and hardware platforms produced by our colleagues at Graphcore. Our aim is to produce high quality software and APIs that enable the wider software team to utilise our products efficiently and effectively. The Firmware and Drivers teams form the foundation of the Graphcore software stack, upon which all our customer-facing systems are built and run.
The Team
The Drivers and Utilities team develop kernel and user space software to allow our customers to get maximum performance and utility from our unique hardware. We work closely with the software engineering team developing our Poplar SDK to support machine learning applications and with silicon and hardware engineers to fully exploit the capabilities of our Graphcore IPU solution.
Responsibilities and Duties
- Write code to Graphcore standards
- Ensure all code written has the appropriate unit tests created for it
- Participate in code reviews individually and as part of the team
- Participate in Scrum ceremonies
- Manually test code written by self and others
- Maintain our Continuous Integration system and fix when broken
- Contribute to and take part in technical design discussions with team members
Candidate Profile
Essential
- Bachelor’s or Master’s Degree in Computer Science, Maths, Machine Learning, Data Science, or related field.
- Previous experience with low-level software including embedded or device drivers. This could be a personal or university project
- Basic understanding of electronics including the ability to read and understand schematics and datasheets
- Introductory experience with any of the following languages: C, C++, Python
- Awareness of Continuous Integration systems such as Jenkins
- Experience using Git for managing source code, raising and reviewing Pull Requests, merging branches
Desirable
- Previously experience with hardware, perhaps with PCI cards or PC motherboards
- Has contributed to open-source projects
- Has designed and built own hardware and controlled it from a host (e.g. Linux-based system)
- Has an interest in how hardware and software platforms interact
Benefits
In 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.
Ready to apply?
Apply to Graphcore
About Graphcore
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 Team:
The verification team sits within the Silicon design team and is responsible for ensuring that the RTL created by the logical design team and used by the physical design team matches the architecture specification for Graphcore silicon. The silicon verification engineer is responsible for verification activities within Graphcore, helping the team meet the company objectives for quality silicon delivery.
Responsibilities
- Verification planning, specification and closure of functional coverage
- Providing feedback to architects
- Test generation and failure diagnosis/triage
- Contributing to shared verification infrastructure
- Ensuring good communication between sites
Essential skills:
• Verification experience in relevant industry
• Proven leadership and planning skills
• Highly motivated, a self starter, and a team player
• Ability to work across teams and programming languages to find root causes of deep and complex issues
• Experience of the verification process applied in CPU and/or ASIC environments
• System Verilog, Python, C++, Linux
Desirable skills:
• UVM
• SVA
• Assembly languages
• LLVM, GCC
• DVCS e.g. Git
• SGE or other DRMS
• XML and XPath/XSLT
• Web programming – HTML/DOM, Javascript, SQL
Benefits:
In 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
We welcome people of different backgrounds and experiences and are committed to building an inclusive work environment that makes Graphcore a great home for everyone. We are an equal opportunity employer and want to build a work environment where everyone is happy, productive and respectful so they can do their best work. If you have a disability or additional need that requires accommodation, just let us know.
Ready to apply?
Apply to Graphcore
About Graphcore
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 Summary
As a Senior 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. You will work on large scale systems where performance is critical to the success of our projects. 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. We seek engineers with strong technical skills and an understanding of AI model implementation at scale, eager to make a tangible impact in this rapidly evolving field.
The Team
The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. 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 multiple modalities and applications.
If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you!
Responsibilities and Duties
- Implement latest machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators.
- Test and evaluate new internal software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews.
- Benchmark models and key ML techniques to identify performance bottlenecks and improve model efficiency.
- Design and conduct experiments on novel AI methods, implement them and evaluate results.
- Collaborate with Research, Software, and Product teams to define, build, and test Graphcore’s next generation of AI hardware.
- Engage with AI community and keep in touch with the latest developments in AI.
Candidate Profile
Essential:
- Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field.
- Proficiency in deep learning frameworks like PyTorch/JAX.
- Strong Python or C++ software development skills
- Expertise in deep learning from model training to optimisation and evaluation.
- Experience in distributed training or inference of ML models across 64+ accelerators.
- Capable of designing, executing and reporting from ML experiments.
- Developed deep understanding of performance bottlenecks and how to overcome them.
- Ability to move quickly in a dynamic environment
- Enjoy cross-functional work collaborating with other teams.
- Strong communicator - able to explain complex technical concepts to different audiences.
Desirable:
- Experience in one or more of:
- MLOps for Kubernetes-based clusters
- Building production systems with large language models
- Efficient computing based on low-precision arithmetic.
- Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models.
- Familiarity with HPC systems and networking including Infiniband, NVLink, RoCE technologies.
- Have contributed to open-source projects or published research papers in relevant fields.
- Knowledge of cloud computing platforms.
- Keen to present, publish and deliver talks in the AI community.
Benefits
In 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.
Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications
Ready to apply?
Apply to Graphcore
About Graphcore
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
Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems.
The Team
An exciting opportunity to join a new team within the Software Operations group. The Build Engineering team is a new function within Software Infrastructure, which focuses on the overall process of building and integration of the Machine Learning Software Stack. You will work closely with the QA and development teams to get an understanding of how our ML SW stack is built, helping to ensure good build practices, and proving that the stack works together and is reproducible in secure, sandboxed environments.
Responsibilities and Duties
- Developing our internal tooling for building, testing and integrating together the ML Software Stack
- Developing tools and technical processes for Software Releases
- Providing guidance to developers on best build practices and dependency management
- Communicating regularly with developers, tech leads, and software architects about aspects of the ML Software Stack
- Working closely with QA and the ML Software Stack to resolve any integration issues
- Contributing fixes towards the ML Software Stack
Essential:
- Knowledge of Python/C++ (or similar language)
- Understanding of Build Processes and Frameworks
- Experience working in Linux environments
- Good communication skills
Desirable:
- Experience with Remote Caching and Execution (e.g. Bazel)
- Experience with Build Tools (e.g. CMake)
- Experience with Testing Frameworks (e.g. PyTest, GoogleTest)
- Experience with Integration Tools (e.g. Buildstream)
- Experience working within the Software Development Lifecycle (SDLC)
- Experience with building and using containers (e.g. Docker, Podman)
- An understanding of Software Architecture patterns
Benefits
In 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.
Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications
Ready to apply?
Apply to Graphcore
About Graphcore
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 Summary
The Product Test and Diagnosis team requires more expertise and experience in the area of board / PCBA hardware test as part of our mission to deliver the high quality manufacturing test solutions that our advanced technology products require. The role requires close interaction with the hardware design team and other parts of the PTD team in order to define and develop appropriate test solutions using techniques such as boundary scan and embedded functional test.
The Team
The Product Test and Diagnosis team’s role is to detect and manage hardware defects that arise from the manufacture and use of our products. This covers chips, boards and finished systems and takes place both in the manufacturing sites and in the field.
Responsibilities and Duties
- Analysis of PCB design testability
- Analysis of PCB design susceptibility to manufacturing defects
- Definition and development of test solutions based on that analysis
- Deployment and support of tests in factory and field environments
Candidate Profile
Essential:
- Experience in manufacturing test of advanced electronic systems
- Thorough understanding of the fundamentals of electronics
- Thorough understanding of SMT / PCB manufacturing processes and failure mechanisms
- Thorough understanding of JTAG 1149 boundary scan test techniques
- Experience in the local and remote use of test instruments (Oscilloscopes, DMM's, Clock generators, SMU's, PSU's, etc.)
- Ability to work with internal teams such as software, silicon design and hardware design
- Ability to work with external board test partners
- Ability to solve problems in complex electronic systems
- Good communication skills
Desirable
- Several years of experience in a relevant environment
- Appreciation of AOI and AXI process capability.
- Experience in programming and using board test systems including Bed -of-nails ICT systems
- Experience in the implementation of ISP and OBP solutions
Benefits
In 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.
Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications
Ready to apply?
Apply to Graphcore
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
The System Software group comprises of the Firmware team, the Drivers and Utilities team and, the System QA team. We are responsible for the enablement of all silicon and hardware platforms produced by our colleagues at Graphcore. Our aim is to produce high quality software and APIs that enable the wider software team to utilise our products efficiently and effectively. The Firmware and Drivers teams form the foundation of the Graphcore software stack, upon which all our customer-facing systems are built and run.
The Team
The Drivers and Utilities team develop kernel and user space software to allow our customers to get maximum performance and utility from our unique hardware. We work closely with the software engineering team developing our Poplar SDK to support machine learning applications and with silicon and hardware engineers to fully exploit the capabilities of our Graphcore IPU solution.
Responsibilities and Duties
- Write code to Graphcore standards
- Ensure all code written has the appropriate unit tests created for it
- Participate in code reviews individually and as part of the team
- Participate in Scrum ceremonies
- Manually test code written by self and others
- Maintain our Continuous Integration system and fix when broken
- Contribute to and take part in technical design discussions with team members
Candidate Profile
Essential
- Bachelor’s or Master’s Degree in Computer Science, Maths, Machine Learning, Data Science, or related field.
- Previous experience with low-level software including embedded or device drivers. This could be a personal or university project
- Basic understanding of electronics including the ability to read and understand schematics and datasheets
- Introductory experience with any of the following languages: C, C++, Python
- Awareness of Continuous Integration systems such as Jenkins
- Experience using Git for managing source code, raising and reviewing Pull Requests, merging branches
Desirable
- Previously experience with hardware, perhaps with PCI cards or PC motherboards
- Has contributed to open-source projects
- Has designed and built own hardware and controlled it from a host (e.g. Linux-based system)
- Has an interest in how hardware and software platforms interact
Benefits
In 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.
Ready to apply?
Apply to Graphcore
About Graphcore
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
We are looking for a Principal Architect to define and drive the architectural vision of the software stack for the Graphcore ML accelerator.
In this role, you will shape the architecture of our software ecosystem and maintain a deep understanding of the product’s hardware and software components, their interfaces, and how they interact.
You are an excellent communicator, and you proactively convey the software architecture.
You bring a pragmatic, trade-off-aware approach to decision-making, fully recognising the impact of architectural choices on product direction and engineering outcomes.
The Team
The software architecture team is responsible for defining, maintaining and communicating the overarching architecture of our software stack, from firmware to ML frameworks.
The team works within the wider software organisation, partnering closely with engineering teams who deliver against this architectural vision.
Responsibilities and Duties
- Define & document the software architecture of the software stack.
- Work across different software domains to ensure a coherent end too end architecture.
- Clearly communicate the software architecture to engineering teams.
- Ensure teams understand key software architectural components, interfaces, and guiding principles.
- Continuously maintain the software architecture as the product evolves. Communicate architectural changes proactively to all relevant stakeholders.
- Stay informed about trends and developments in the ML/software ecosystem.
- Assess the architectural impact of new technologies.
- Be aware of the usability, performance, reliability, maintainability, testability, security and observability constraints on the software architecture.
- Prototyping and validating architectural concepts through proof-of-concept implementations.
- Contribute to future and/or related product definitions with a forward-looking mindset, understanding and communicating the impact of future direction on software architecture.
- Work with the HW and Silicon architects to ensure product the needs of software stack.
- Ensure the software architecture meets the product requirements.
- Work closely with engineering, product, leadership, and partners to ensure alignment between business goals and architectural direction.
Candidate Profile
Essential:
- Expertise in one or more of these technologies; Firmware, Drivers, ML frameworks (PyTorch, Triton, etc), Collectives, HPC, Tooling, C & C++, CPU architectures.
- Technical expertise in the ML accelerator software space.
- Excellent communication skill, both written and verbal.
- Collaborative mindset and ability to influence.
- Pragmatic approach to decision making, being very aware of trade-offs and implications.
Desirable
- Demonstrable experience in a previous architecture role.
Benefits
-
In 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.
Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications
Ready to apply?
Apply to Graphcore
About Graphcore
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 Summary
As a Senior Technical Project Manager focussed on Platform you will play a key role in bridging the technical and management domains of teams responsible for the planning and delivery of solutions for workload management, systems management & observability, integrated hardware/software quality assurance and cloud development.
You will collaborate with highly technical engineering leads, and multi-functional teams across systems, software, operations, and product to support the flawless delivery of our fully integrated hardware and software AI systems.
Responsibilities and Duties
- Serve as the primary liaison for the technical teams in multi-functional discussions, ensuring alignment on project requirements.
- Support the planning, development and management of project schedules and deliverables to achieve programme objectives on schedule.
- Ensure each team’s programme deliverables satisfy requirements and are fulfilled by the engineering work.
- Monitor and track dependencies both within Platform and with other programme teams, communicating any near-term inputs for the individual team backlogs.
- Represent Platform in programme management syncs and reviews. Efficiently aid teams’ navigation of scope changes to minimize impacts on project timelines and outcomes.
- Work with Release Management and Engineering teams to minimise time-to-delivery and remove blockers for developing at scale.
- High-level technical understanding of the software, QA, cloud development solutions so that you can contribute meaningfully to priority discussions.
- Proactively identify risks and dependencies, support the teams’ development of mitigation strategies, and inform/escalate issues.
- Provide regular updates on program status, highlighting challenges and proposing solutions to internal partners, facilitating informed decision-making.
- Facilitate process for internal compute resource allocations among engineering teams.
- Continually improve processes, optimize workflow, and maintain the highest quality levels.
Skills and Experience
Essential:
- Bachelor's degree in a relevant subject or equivalent experience.
- Experience of working in programs with a strong software and hardware mix.
- Track record of working with Agile project development practices.
- Excellent communicator, translating complex situations into plain narrative.
- Outstanding facilitator to help resolve complex issues.
- Great organiser of people, processes, and product plans.
- Experience working with Atlassian tools (Jira, Confluence) to represent complex work hierarchies and dependencies.
- An ability to work independently without daily oversight in projects that can rapidly evolve and change.
- A demonstrable understanding and application of knowledge and skills managing dependencies, priorities, risks, issues, impacts and constraints.
- A proven track record of delivering technical output, perhaps as an individual contributor, manager or project manager, especially in software development.
Desirable:
- Minimum of 8 years of relevant experience including at least 3 years in a technical program management role, ideally within multi-functional teams.
- Understanding of AI or HPC systems and how each component interacts with the system.
- Knowledge of data centre design, infrastructure provisioning and management.
- Experience working with satellite teams.
Benefits
In 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.
Sponsorship
Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.
Ready to apply?
Apply to Graphcore
About Graphcore
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 Summary
As a Senior 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. You will work on large scale systems where performance is critical to the success of our projects. 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. We seek engineers with strong technical skills and an understanding of AI model implementation at scale, eager to make a tangible impact in this rapidly evolving field.
The Team
The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. 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 multiple modalities and applications.
If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you!
Responsibilities and Duties
- Implement latest machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators.
- Test and evaluate new internal software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews.
- Benchmark models and key ML techniques to identify performance bottlenecks and improve model efficiency.
- Design and conduct experiments on novel AI methods, implement them and evaluate results.
- Collaborate with Research, Software, and Product teams to define, build, and test Graphcore’s next generation of AI hardware.
- Engage with AI community and keep in touch with the latest developments in AI.
Candidate Profile
Essential:
- Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field.
- Proficiency in deep learning frameworks like PyTorch/JAX.
- Strong Python or C++ software development skills
- Expertise in deep learning from model training to optimisation and evaluation.
- Experience in distributed training or inference of ML models across 64+ accelerators.
- Capable of designing, executing and reporting from ML experiments.
- Developed deep understanding of performance bottlenecks and how to overcome them.
- Ability to move quickly in a dynamic environment
- Enjoy cross-functional work collaborating with other teams.
- Strong communicator - able to explain complex technical concepts to different audiences.
Desirable:
- Experience in one or more of:
- MLOps for Kubernetes-based clusters
- Building production systems with large language models
- Efficient computing based on low-precision arithmetic.
- Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models.
- Familiarity with HPC systems and networking including Infiniband, NVLink, RoCE technologies.
- Have contributed to open-source projects or published research papers in relevant fields.
- Knowledge of cloud computing platforms.
- Keen to present, publish and deliver talks in the AI community.
Benefits
In 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.
Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications
Ready to apply?
Apply to Graphcore
About Graphcore
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 Team:
The verification team sits within the Silicon design team and is responsible for ensuring that the RTL created by the logical design team and used by the physical design team matches the architecture specification for Graphcore silicon. The silicon verification engineer is responsible for verification activities within Graphcore, helping the team meet the company objectives for quality silicon delivery.
Responsibilities
- Verification planning, specification and closure of functional coverage
- Providing feedback to architects
- Test generation and failure diagnosis/triage
- Contributing to shared verification infrastructure
- Ensuring good communication between sites
Essential skills:
• Verification experience in relevant industry
• Proven leadership and planning skills
• Highly motivated, a self starter, and a team player
• Ability to work across teams and programming languages to find root causes of deep and complex issues
• Experience of the verification process applied in CPU and/or ASIC environments
• System Verilog, Python, C++, Linux
Desirable skills:
• UVM
• SVA
• Assembly languages
• LLVM, GCC
• DVCS e.g. Git
• SGE or other DRMS
• XML and XPath/XSLT
• Web programming – HTML/DOM, Javascript, SQL
Benefits:
In 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
We welcome people of different backgrounds and experiences and are committed to building an inclusive work environment that makes Graphcore a great home for everyone. We are an equal opportunity employer and want to build a work environment where everyone is happy, productive and respectful so they can do their best work. If you have a disability or additional need that requires accommodation, just let us know.
Ready to apply?
Apply to Graphcore
About Graphcore
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 Summary
Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems
The Team
The Software Infrastructure team provides critical platforms and services for software development teams across the business. Our responsibilities include managing the CI platform and services, build engineering, component integration, and packaging and release systems. We operate in squads, fostering a culture of service ownership and empowerment for our engineers. We focus on long-term engineering solutions and strive to eliminate toil wherever possible.
Responsibilities and Duties
- Develop, own, and maintain tools and services to support AI research and engineering teams
- Deploy and maintain services with Kubernetes and Docker
- Manage our Cloud Infrastructure using tools such as Terraform
Candidate Profile
Essential:
- Knowledge of Python
- Familiarity with cloud services (e.g. AWS)
- Experience managing or developing in Linux environments
- Understanding of CI/CD principles
- Experience using Kubernetes (k8s)
- Experience of one of the following:
- maintaining machine learning applications.
- deploying ML orchestration tools (e.g. NV Ray, KFP, SkyPilot).
- managing ML accelerator hardware (e.g. DCGM).
Desirable
- Experience with Infrastructure as Code (IaC) tools (e.g. Terraform/OpenTofu)
- Experience with GitHub Actions
- Experience with modern observability tooling (e.g. Prometheus)
- Experience with Grafana
- Knowledge of Go/Java/C++ (or similar language)
Benefits
In 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.
Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications
Ready to apply?
Apply to Graphcore
About Graphcore
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 Team:
The verification team sits within the Silicon design team and is responsible for ensuring that the RTL created by the logical design team and used by the physical design team matches the architecture specification for Graphcore silicon. The Silicon Verification Lead is responsible for verification activities within Graphcore, helping the team meet the company objectives for quality silicon delivery.
Responsibilities
- Verification planning, specification and closure of functional coverage
- Providing feedback to architects
- Test generation and failure diagnosis/triage
- Contributing to shared verification infrastructure
- Ensuring good communication between sites
Essential skills:
• Verification experience in relevant industry
• Proven leadership and planning skills
• Highly motivated, a self starter, and a team player
• Ability to work across teams and programming languages to find root causes of deep and complex issues
• Experience of the verification process applied in CPU and/or ASIC environments
• System Verilog, Python, C++, Linux
Desirable skills:
• UVM
• SVA
• Assembly languages
• LLVM, GCC
• DVCS e.g. Git
• SGE or other DRMS
• XML and XPath/XSLT
• Web programming – HTML/DOM, Javascript, SQL
Benefits:
In 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
We welcome people of different backgrounds and experiences and are committed to building an inclusive work environment that makes Graphcore a great home for everyone. We are an equal opportunity employer and want to build a work environment where everyone is happy, productive and respectful so they can do their best work. If you have a disability or additional need that requires accommodation, just let us know.
Ready to apply?
Apply to Graphcore
About Graphcore
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 Summary
We are seeking a Director of Silicon Logical Design to lead and scale our Logical Design group within the Silicon department. This role is accountable for the overall strategy, technical direction, execution quality and team development for Graphcores microarchitecture and RTL design efforts.
The Director will be responsible for ensuring that our logical design methodologies, architectures and RTL implementations meet world class standards for performance, power, area, and schedule. This leader will partner closely with Architecture, Physical Design, Verification, DFT and Program Management teams to ensure successful, predictable silicon delivery aligned with Graphcores long term product roadmap.
The Team
The Logical Design team deliver the micro-architecture and RTL that realise our advanced chip architectures. As Director, you will guide this multi site team, strengthen cross functional collaboration, and drive the evolution of our design flows and capabilities.
Responsibilities and Duties
Leadership & Strategy
- Define and execute the strategic roadmap for Logical Design, ensuring alignment with Graphcores silicon and product strategy.
- Lead, grow and mentor a high performing RTL/micro architecture design organisation.
- Establish and implement best in class design methodologies, documentation standards and quality metrics.
- Drive continuous improvement across team structure, workflows, tooling, and design processes.
Technical Ownership
- Provide technical oversight of micro architecture specification and RTL development across all major blocks and subsystems.
- Guide architectural feasibility studies, contribute to architectural trade offs and micro architecture definition.
- Oversee the integration of third party IP, complex application specific blocks, and high performance custom designs.
- Ensure robust design sign off through high quality linting, synthesis, CDC/RDC, timing closure and coverage metrics.
Cross-Functional Collaboration
- Partner closely with Physical Design, Verification, DFT, Architecture and Program Management teams to ensure cohesive planning and execution.
- Foster strong communication across teams and global sites, ensuring alignment on priorities, risks and deliverables.
- Support silicon bring-up and debug efforts by providing expert guidance and deep understanding of RTL behaviour and architecture.
Execution & Delivery
- Own delivery of high quality, on schedule RTL for multiple parallel silicon programs.
- Establish scalable project planning and tracking practices, including resource planning and risk mitigation.
- Champion design automation and infrastructure improvements to accelerate productivity and improve design quality.
Essential Skills & Experience
- Degree in Computer Science, Electrical Engineering or a related field; advanced degree preferred.
- Extensive experience in digital logical design, micro-architecture and RTL development for large scale, high performance silicon projects.
- Proven success leading and developing technical teams in a semiconductor environment.
- Deep expertise in SystemVerilog or VHDL and familiarity with modern digital design flows.
- Strong ability to diagnose and resolve complex design issues, including via scripting/programming (Python, Tcl, etc.).
- Demonstrated excellence in cross functional leadership and communication across global teams.
- Strong organisational skills with ability to manage multiple priorities and drive execution in fast-paced environments.
Desirable Experience
- Processor or accelerator micro architecture.
- High-speed serial interfaces and complex, high bandwidth IP blocks.
- Arithmetic pipeline design and floating point datapaths.
- Advanced synthesis, timing analysis, power analysis, and logical equivalence checking.
- Design-for-test methodologies.
- Power integrity and silicon device level understanding.
- Experience with silicon bring-up and post-silicon validation.
- Program planning and multi-project execution leadership.
Ready to apply?
Apply to Graphcore
About Graphcore
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
Reporting 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 (note: “Triton” here refers to the Triton language/compiler and not the inference framework).
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.
In this role you will closely collaborate with other engineers, both within the Triton team as well as other engineering teams. You help the team coordinate and deliver complex, open-ended technical tasks. You are pro-active and an excellent communicator. You will develop deep expertise in the Triton project and will (in time) contribute to the team’s technical direction and processes. You understand the importance of managing code quality and code complexity and balancing this against the need to deliver business outcomes.
Note that the job title and associated benefits will be tailored to the successful candidate’s level of experience at the job offer stage to one of Software Engineer, Staff Engineer, Senior Staff Engineer, Principal Software Engineer or Senior Principal Software Engineer. Note that as the machine learning software landscape is quite fast moving and as such flexibility is essential – over time you may be asked to work on teams other than Triton.
The Team
The 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 Duties
- Designing and implementing 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.
- Provide technical leadership, contributing the team’s technical direction and processes.
- Contributing to documentation, including user manuals and tutorials.
- Conducting code reviews.
- Resolving regressions, performance issues and software defects.
- Coaching and mentoring other team members.
- Contributing to a collaborative team culture.
- Contribute to continuous improvements to improve ways of working.
- Working with upstream open-source development teams.
Candidate Profile
Essential:
- Demonstrable strong software engineering skills.
- Demonstrable experience of Python/C++ development.
- Demonstrable experience of compiler development.
Desirable:
- Experience with MLIR (or more generally: SSA-based IRs) is highly 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.
- Experience of using and/or development of ML Frameworks.
- Experience in a computationally intensive engineering field.
Benefits
In 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.
Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications
Ready to apply?
Apply to Graphcore
Senior Machine Learning Engineer (Large Systems)
Senior: PLN 260,400 - 352,200
Staff: PLN 350,700 - 474,400
Subject to alignment to the responsibilities and duties of the role - we currently have multiple positions available at both Senior and Staff level
About Graphcore
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 Summary
As a Senior 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. You will work on large scale systems where performance is critical to the success of our projects. 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. We seek engineers with strong technical skills and an understanding of AI model implementation at scale, eager to make a tangible impact in this rapidly evolving field.
The Team
The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. 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 multiple modalities and applications.
If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you!
Responsibilities and Duties
- Implement latest machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators.
- Test and evaluate new internal software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews.
- Benchmark models and key ML techniques to identify performance bottlenecks and improve model efficiency.
- Design and conduct experiments on novel AI methods, implement them and evaluate results.
- Collaborate with Research, Software, and Product teams to define, build, and test Graphcore’s next generation of AI hardware.
- Engage with AI community and keep in touch with the latest developments in AI.
Candidate Profile
Essential:
- Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field.
- Proficiency in deep learning frameworks like PyTorch/JAX.
- Strong Python or C++ software development skills
- Expertise in deep learning from model training to optimisation and evaluation.
- Experience in distributed training or inference of ML models across 64+ accelerators.
- Capable of designing, executing and reporting from ML experiments.
- Developed deep understanding of performance bottlenecks and how to overcome them.
- Ability to move quickly in a dynamic environment
- Enjoy cross-functional work collaborating with other teams.
- Strong communicator - able to explain complex technical concepts to different audiences.
Desirable:
- Experience in one or more of:
- MLOps for Kubernetes-based clusters
- Building production systems with large language models
- Efficient computing based on low-precision arithmetic.
- Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models.
- Familiarity with HPC systems and networking including Infiniband, NVLink, RoCE technologies.
- Have contributed to open-source projects or published research papers in relevant fields.
- Knowledge of cloud computing platforms.
- Keen to present, publish and deliver talks in the AI community.
Benefits
In addition to a competitive salary, Graphcore offers annual leave policy, medical and dental health plans, a gym card, and employee pension (matched up to 4%). We review our benefits on a yearly basis to ensure we offer a valuable and rewarding benefits programme to our employees. 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.
Ready to apply?
Apply to Graphcore
About Graphcore
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 Summary
As a Senior 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. You will work on large scale systems where performance is critical to the success of our projects. 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. We seek engineers with strong technical skills and an understanding of AI model implementation at scale, eager to make a tangible impact in this rapidly evolving field.
The Team
The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. 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 multiple modalities and applications.
If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you!
Responsibilities and Duties
- Implement latest machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators.
- Test and evaluate new internal software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews.
- Benchmark models and key ML techniques to identify performance bottlenecks and improve model efficiency.
- Design and conduct experiments on novel AI methods, implement them and evaluate results.
- Collaborate with Research, Software, and Product teams to define, build, and test Graphcore’s next generation of AI hardware.
- Engage with AI community and keep in touch with the latest developments in AI.
Candidate Profile
Essential:
- Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field.
- Proficiency in deep learning frameworks like PyTorch/JAX.
- Strong Python or C++ software development skills
- Expertise in deep learning from model training to optimisation and evaluation.
- Experience in distributed training or inference of ML models across 64+ accelerators.
- Capable of designing, executing and reporting from ML experiments.
- Developed deep understanding of performance bottlenecks and how to overcome them.
- Ability to move quickly in a dynamic environment
- Enjoy cross-functional work collaborating with other teams.
- Strong communicator - able to explain complex technical concepts to different audiences.
Desirable:
- Experience in one or more of:
- MLOps for Kubernetes-based clusters
- Building production systems with large language models
- Efficient computing based on low-precision arithmetic.
- Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models.
- Familiarity with HPC systems and networking including Infiniband, NVLink, RoCE technologies.
- Have contributed to open-source projects or published research papers in relevant fields.
- Knowledge of cloud computing platforms.
- Keen to present, publish and deliver talks in the AI community.
Benefits
In 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.
Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications
Ready to apply?
Apply to Graphcore
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 Summary
As 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 Team
The 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 Duties
- Implement 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.
Benefits
In 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.
Ready to apply?
Apply to Graphcore
About Graphcore
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 Summary
As a hardware signal integrity engineer you will develop, extract and simulate PCB structures to ensure that the high speed SERDES (112Gbps) and DDR interfaces perform correctly within the system budget.
You will work closely with the PCB and package substrate CAD engineers to design component signal launches from BGA components and connectors, layer transition via structures, and cable interconnect. You will define the low-loss materials to be used for future designs and work closely with Graphcore’s system architecture team and suppliers to ensure the best possible performance is achieved. You will be an expert user of high-speed PCB simulation tools and be familiar with industry best practice in high-speed digital system design.
The Team
Graphcore’s Hardware Engineering Team creates both products for sale in volume production and hardware test & validation systems based on Graphcore’s IPU processor.
These systems allow Graphcore’s customers to develop leading-edge machine-leaning solutions for training and inference.
Responsibilities and Duties
Signal and Power Integrity specialist for the development of production systems and test boards for Graphcore’s family of processors.
Includes:
- Development of printed circuit board structures for high frequency (112Gbps, 16Gbps) SERDES interfaces, DDR interfaces
- PCB stackup definition
- System, PCB and substrate level simulation and analysis of signal and power integrity
- Graphcore Integrated Circuit device interface requirements definition, tool & vendor relationships
- PCB design requirement and constraint definition, PCB layout supervision
- Prototype bring-up, evaluation, validation & system test
Candidate Profile
- 5+ years’ experience in high-speed digital circuit development, with a deep understanding of signal and power supply integrity
- Knowledge of high-speed circuit design requirements to ensure signal integrity and robust rejection of interference and crosstalk is essential
- Experience of high frequency (tens of GHz) SERDES design and validation
- Experience with ANSYS SIWave, HFSS, and/or Mentor Hyperlynx Signal and Power Integrity tools
- High speed processor system design with experience in interfaces such as SERDES, PCI, DDR, Ethernet, etc.
- Design of BGA & connector pad launches, via structures and transmission lines for GHz signals.
- This position will require extensive practical work in the lab, bringing up, debugging and validating designs
- Expertise in the use of vector network analysers, high speed digital oscilloscopes, signal generators
- A rigorous approach is required to make sure designs will work correctly the first time
- Independent working and the taking of responsibility, with excellent cooperative and communications skills to work in a small team environment
- Experience working in a small team, which requires a wide range of skills, an eagerness to participate in all parts of the development cycle from concept to testing in the lab and supporting manufacture and customers.
Benefits
In 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.
Ready to apply?
Apply to Graphcore
About Graphcore
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 Summary
We are looking for high-quality silicon physical design engineers to complement our existing exceptional team. We have a range of roles available with focus on those with extensive ranges of skills and experience although exceptional candidates with less experience will be considered. We want people who work collaboratively and proactively within a team focusing on collectively achieving our goals and creating the right engineering solutions. Good communication is essential, as is the ability to adapt and learn – we value the right characteristics more than specific experience.
For the successful candidate we offer an open, honest and collaborative environment working on leading-edge designs at the most advanced nodes. Our engineers are not siloed, and they are trusted and encouraged to take ownership of their designs and problem solutions. You will become part of a team that looks for improvements to everything we do: our designs, our flows, our methodologies, our infrastructure.
The Team
The physical design team sits within the wider silicon design team which includes RTL, verification and DFT and with whom we collaborate extensively. Our work additionally involves strong links with architecture, packaging and product engineering. We are responsible for working with those teams to create high-quality RTL and then to build the final chip layout (e.g. GDSII) ensuring a signoff-quality design is delivered to the Foundry (e.g. TSMC).
Responsibilities and Duties
Applicants will be expected to contribute technically to the development of Graphcore's next generation of AI superchips, focusing on achieving robust, high-performance and power-efficient designs in leading-edge process technologies while meeting ambitious development schedules. Contributions are expected to span multiple areas and involve:
- using state-of-the-art EDA tools and in-house Graphcore flows to deliver final designs that are of sign-off quality
- enhancing existing flows and in-house tools/APIs to support new features and/or methodologies
- analysis and/or debugging of complex engineering problems leading to workable solutions
- developing an understanding of emerging technical issues and applying that knowledge to optimise in-house flows and methodologies
Candidates will be expected to work closely both with other teams within Graphcore and with 3rd party support engineers/contractors, ensuring good communication between all parties, and to contribute meaningfully to the overall efficiency and success of the Physical Team.
Candidate Profile
Essential Skills and Experience:
- A Degree in Electronic/Electrical Engineering, Computer Science or related subject
- Be highly motivated, a self-starter, and a team player
- Enjoy taking responsibility and improving skills and knowledge
- Excellent problem-solving skills for debugging issues seen and finding root causes
- Ability to program/script (required to solve design issues, typically in Tcl and Python)
- Experience in 7nm or smaller technologies
- A good breadth of experience with physical design flows including: Floorplanning/Budgeting, Synthesis, Place and Route, Clock CTS, Timing Analysis, Logical Equivalence, Physical Verification (DRC/LVS/ERC)
Desirable Skills and Experience:
- In depth expertise in one or more aspects of physical design flows
- Structuring of builds to maximise PPA
- Silicon transistor knowledge including std cell libraries and/or memories
- 2D and 3D design (CoWoS, UCIe etc.)
- High speed, high power and/or full reticle chip design
- Ethernet, PCIe, LPDDR, HBM interfaces
- Power integrity and optimization
- 2nm or 3nm technologies
- Chip finishing (pad rings, chip level LVS/DRC/ERC)
- Design for test
- Team management
- Project Planning
Benefits
In 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
Ready to apply?
Apply to Graphcore
About Graphcore
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
Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems.
The Team
The Software Infrastructure team provides critical platforms and services for software development teams across the business. Our responsibilities include managing the CI platform and services, build engineering, component integration, and packaging and release systems. We operate in squads, fostering a culture of service ownership and empowerment for our engineers. We focus on long-term engineering solutions and strive to eliminate toil wherever possible.
Responsibilities and Duties
- Develop, own, and maintain tools and services to support the software build and release process
- Deploy and maintain services with Kubernetes and Docker
- Manage our Cloud Infrastructure using tools such as Terraform
- Support the technical development of junior and graduate engineer
- Embody a strong engineering discipline for high reliability and minimal toil
Candidate Profile
Essential:
- Knowledge of Python/Go/C++ (or similar language)
- Experience deploying services in the cloud (AWS preferred)
- Deep understanding of Linux environments
- Native user of CI/CD for production deployments
- Experience with Infrastructure as Code (IaC) tools (e.g. Terraform/OpenTofu)
Desirable
- Experience using Kubernetes (k8s) or OpenStack
- Experience with GitHub Actions
- Experience with build tools (e.g. CMake)
- Experience with modern observability tooling (e.g. Prometheus)
- Experience with Grafana
Benefits
In 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.
Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications
Ready to apply?
Apply to Graphcore
About Graphcore
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 Person
Graphcore’s experienced, skilled, and motivated engineering team is heavily involved in shaping the future of AI. A successful candidate will exhibit exceptional knowledge in Design for Testability (DFT) and will have a strong technical background and experience in DFT methodologies, complemented by a robust, self-motivated work ethic. The ideal candidate should also have a focus on quality and demonstrate a good understanding of the importance of production test on the success of a product. Some hands-on experience in one or more of the following areas is essential: RTL design, simulations and debugging, synthesis, STA.
The Role:
We are expanding and looking for an experienced DFT engineers to join the Silicon team. As a part of our team, you will have the opportunity to work on next-generation AI designs targeted for data centers applications.
Responsibilities:
- Keep up with the latest industry trends in DFT domain and help adopt the latest DFT techniques and methodologies
- Work closely with design, verification, physical design and product engineering teams to integrate DFT requirements into the overall design process
- Define and implement DFT architecture and features for next-generation AI designs and support their verification effort
- Develop efficient DFT flows and methodology compatible with silicon design flows
- Work with 3rd party IPs to integrate the provided design into the DFT infrastructure
- Generate structural test vectors, analyze and improve test coverage
- Work with the product and test engineering teams to ensure successful silicon bring-up and help identify any silicon failures to enhance yield learning and improvement
Requirements:
- Very good understanding of DFT components like JTAG (IEEE 1149.x), IJTAG (IEEE P1687), Core Test (IEEE P1500), SSN (Streaming Scan Network), Test Compression, OCC etc.
- Experience on developing DFT specifications and driving the implementation of the DFT features
- Experience in MBIST and BISR implementation and verification is desired
- Solid understanding of design verification methodologies for validating the DFT features using simulation in pre-silicon designs
- Exposure to STA constraints development and analysis for DFT modes and SDF simulations would be a plus
- Experience in Scan based testing and industry standard ATPG tools
- Knowledge of ATPG pattern verification and gate-level simulation flows using Synopsys VCS and Verdi or other EDA tools
- Very good knowledge of Digital Integrated Circuits and Systems
- Hands-on experience with Verilog RTL coding and familiarity with System Verilog
- Strong scripting and debugging skills using programming languages like Python, TCL, Perl, Shell etc.
- Exposure to silicon bring-up, post-silicon testing and tester pattern debugging
- Strong problem-solving skills across various levels of design hierarchies
- Great team working and communication skills
Academic Credentials
- Bachelors or Masters or PhD in Computer engineering/Electrical engineering/Electronics Engineering
Benefits:
In 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
We welcome people of different backgrounds and experiences and are committed to building an inclusive work environment that makes Graphcore a great home for everyone. We are an equal opportunity employer and want to build a work environment where everyone is happy, productive and respectful so they can do their best work. If you have a disability or additional need that requires accommodation, just let us know.
Ready to apply?
Apply to Graphcore
About Graphcore
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.
Summary
Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed system
The Team
The Software Infrastructure team provides critical platforms and services for software development teams across the business. Our responsibilities include managing the CI platform and services, build engineering, component integration, and packaging and release systems. We operate in squads, fostering a culture of service ownership and empowerment for our engineers. We focus on long-term engineering solutions and strive to eliminate toil wherever possible.
Responsibilities and Duties
- Develop, own, and maintain tools and services to support the software org
- Deploy and maintain Kubernetes infrastructure to develop, test, and scale Graphcore hardware and its software stack
- Manage our Cloud Infrastructure using tools such as Terraform
Candidate Profile
Essential:
- Practical experience developing in Go
- Familiarity with cloud services (AWS preferred)
- Experience managing or developing in Linux environments
- Understanding of CI/CD principles
- Strong experience of Kubernetes (k8s) development and deployment
Desirable
- Experience developing Kubernetes Controllers
- Experience with Infrastructure as Code (IaC) tools (e.g. Terraform/OpenTofu)
- Experience with GitHub Actions
- Experience with distributed HPC systems
- Experience with modern observability tooling (e.g. Prometheus)
- Knowledge of Python/C++ (or similar language)
Benefits
In 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.
Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications
Ready to apply?
Apply to Graphcore