Graphcore - Research Engineer

• 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. • 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 • Mathematics skills to support the above: calculus, probability theory and linear algebra. • Experience submitting papers to international scientific conferences or workshops.