Please note: We plan to monitor applications closely, and due to the volume, we might close applications early. We strongly recommend you get your application in as soon as possible.
Founded just over five years ago, Graphcore's growth and impact has been little short of staggering. We believe we're in a unique position as a new wave of machine learning technology begins to emerge. We see a world where technology enhances human potential and takes us into a new era of intelligence and progress that everyone can benefit from.
What we can achieve over the next few years will re-shape businesses around the world.
Graphcore has created a completely new processor, the Intelligence Processing Unit (IPU), specifically designed for artificial intelligence. The IPU’s unique architecture means developers can run current machine learning models orders of magnitude faster. More importantly, it lets AI researchers undertake entirely new types of work, not possible using current technologies, to drive the next great breakthroughs in general machine intelligence.
Embedded directly into one of our specialist teams, you’ll be working alongside industry specialists using your technical knowledge to help drive the transformative performance of our IPU.
Graphcore’s Applications team implement and optimise cutting-edge Machine Learning Applications using our IPUs, Poplar SDK and frameworks such as TensorFlow and PyTorch, collaborating closely with our peers in the Software team.
In our work we support some of the top machine learning innovators at deep learning research groups, at academic institutions, at innovative machine learning start-ups, at leading automotive companies, and at some of the world’s largest cloud and internet companies. You will develop a deep understanding of the state-of-the-art in artificial intelligence & machine learning domains, and learn how to deliver compelling application performance using IPUs.
You’ll start of learning about our systems, development processes and building your understanding of the IPU and Poplar platform before joining one of our teams to become a technical specialist.
Your work will entails writing, testing and optimising machine learning models in a range of domains such as vision, NLP, graphs; using from one to hundreds of IPUs to run. The outcome of your work will be applications publicly available on GitHub. You will be integrated in a diverse and highly supportive team where each person's views are highly valued. You will work on challenging projects that will push the boundaries of your current knowledge and enable you to grow rapidly. Expect a highly flexible environment putting the focus on team impact both on Graphcore and the AI community in general.
A tailored onboarding and induction programme will get you up to speed with life at Graphcore, including how the business operates. During your induction our technical specialists will host knowledge sharing sessions, providing you the opportunity to build your network.
Once in your team, you can expect hands on experience from day one and to make a real contribution. A typical day would involve working closely with peers and your manager to solve challenges as they arise.
You will also benefit from a buddy, mentor and access to a talent development team that will support your softer skill development.
We are looking for technical, passionate, and motivated individuals! With a desire to learn, work and develop in a technically challenging, fast paced environment, you'll also be:
We are not looking for an instant expert but graduates with the hunger to learn, develop and make a contribution to Graphcore’s future.
In addition to a very competitive salary and share options, you will also have the freedom to make your own choices that work for you, starting with unlimited holiday. You will also have a pension scheme and to support your well-being we provide health insurance, life cover and an employee assistance programme.
Our centrally-located Bristol office provides a well-stocked kitchen with healthy food, drinks and snacks and our very own barista! We have an active social scene across our offices too - from cycling, yoga, running and football right through to a board game group.
We've signed the Gradcracker feedback pledge.
(This means that we will supply feedback if requested after an interview.)