Founded just over three 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.

 

Main focus

Working on tools, libraries and drivers to target our new IPU hardware platform efficiently. The software stack involves a mix of low level coding and drivers, toolchain component (compilers, assemblers, linkers etc.) and libraries to target multiple processors working in parallel.

As the software stack crosses many different domains a good candidate may come from many different backgrounds (toolchain developers, HPC developers, DSP engineers, other application developers). Understanding of machine learning is desirable but not essential.

Fundamentally, this is a coding role so being comfortable with programming and having the skills to cope with new issues is paramount. 

Requirements

  •   C++ development experience at a commercial product level

 Differentiators

  •  Masters or PhD in related computationally intensive science or engineering field
  •  Parallel programming and knowledge of computer architectures
  •  Understanding of compiler technologies and optimizing code
  •  Experience working with modern deep learning software architecture and frameworks including: Tensorflow, MxNet and/or PyTorch
  •  Experience working with hardware platforms such as GPUs, DSPs or FPGAs
  •  Experience in AI/machine learning

Benefits
In addition to a competitive salary, we also offer a generous pension scheme and to support your well-being we provide health insurance, life cover and an employee assistance programme.

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. If you have a disability or additional need that requires accommodation, just let us know.

Please note, we are only considering candidates who have an established right to work in the UK for roles based in Cambridge, UK

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