Cambridge•Posted: Jul 14•Deadline: Aug 16
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 Scientist at Graphcore, you will advance AI research at the intersection of visual generative modelling, multimodal
learning, world models and hardware-aware machine learning. You will explore new model architectures, training methods and
deployment strategies with applications in embodied AI, robotics and autonomous systems. Example research directions could include
efficient video generation, diffusion and flow-based models, multimodal representation learning, world models for agents, or
analysis of how emerging generative AI workloads influence future AI accelerators.
This role sits at the interface between frontier model research and AI hardware. Specialised hardware has been a key driver of
AI progress 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 field. We are looking for researchers and engineers with the theoretical depth,
practical judgement and implementation skills to turn ambitious ideas into rigorous experiments, publications and technical
insights that influence the future of AI compute.
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, including NeurIPS, ICML and 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 individual research interests and
solve problems together. Our work spans efficient compute, model scaling, distributed training and inference, and AI models for
multiple modalities and applications, including 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 and want to help shape the hardware and software systems that drive the future of AI
compute, we’d love to hear from you!
RESPONSIBILITIES AND DUTIES
* Develop and evaluate new ideas in visual generative AI, multimodal modelling and world models, from initial hypothesis through
experiment design, implementation, analysis and publication.
* Prepare, submit and present your work to AI conferences and workshops.
* Work with researchers, software engineers and silicon teams to understand how emerging AI workloads can shape, and be shaped
by, future Graphcore hardware and software systems.
ABOUT YOU:
Essential:
* Master’s, PhD or equivalent experience in a technical discipline (e.g., Mathematics, Statistics, Computer Science, Physics,
Chemistry, Biomedical Engineering).
* Experience in visual generative AI, visual understanding or world models.
* Strong Python programming skills using a modern deep learning framework, e.g. PyTorch or JAX.
* Familiarity with deep learning fundamentals, including model architectures, optimisation, evaluation and scaling.
* Ability to design, execute, analyse and clearly communicate ML experiments.
* Mathematical foundations to support the above, including calculus, probability theory and linear algebra.
* Evidence of research ability, such as conference or workshop submissions, publications, technical reports, open-source projects
or impactful industrial research.
Desirable:
* Experience with multimodal reasoning or generation, action-conditioned models, embodied AI, robotics or autonomous systems.
* Lower-level programming for hardware efficiency, e.g. C++/CUDA/Triton.
* Practical familiarity with hardware considerations for deep learning, such as parallelism, memory hierarchy, vector and matrix
engines, data movement, bandwidth limits and performance bottlenecks.
* Practical familiarity with deep learning software stacks, such as graph compilation, kernel fusion, XLA/ATen operations,
streams and asynchronous execution.
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
Bristol•Posted: Jul 14•Deadline: Aug 16
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
London•Posted: Jul 14•Deadline: Aug 16
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
