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.
We believe our IPU technology will become the worldwide standard for artificial intelligence compute. The performance of Graphcore’s IPU is going to be transformative across all industries and sectors whether you are a medical researcher, roboticist or building autonomous cars.
Our team is at the forefront of the artificial intelligence revolution, enabling innovators from all industries and sectors to expand human potential with technology. What we do, really makes a difference.
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.
- C++ development experience at a commercial product level
- 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
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.
Please note, we are only considering candidates who have an established right to work in the UK for roles based in Cambridge, UK