AI Research Engineer

Join Graphcore, a leading AI hardware company, as an AI Research Engineer. In this role, you will contribute to the advancement of AI research, focusing on hardware-aware AI algorithms and AI-aware hardware developments. You will work closely with researchers to generate ideas and translate them into scalable implementations, contributing to publications and projects that help steer the future of AI hardware. The position offers flexible working arrangements, private medical insurance, a pension plan, income protection, and opportunities for learning and development.

• Contribuer à l'avancement de la recherche en intelligence artificielle en concevant des expériences, en les mettant en œuvre et en évaluant les résultats.
• Collaborer avec des chercheurs, des ingénieurs en silicium et en logiciel pour définir, construire et tester la prochaine génération de matériel d'IA de Graphcore.
• Préparer, soumettre et présenter votre travail lors de conférences et d'ateliers sur l'IA.
• Lower-level programming for hardware efficiency, e.g. C++/CUDA/Triton
• Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling
• Practical familiarity with software stacks for deep learning – compilation, kernel fusion, XLA/ATen ops, streams, and asynchronous execution
• 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
• Capable of designing, executing and reporting from ML experiments
• Practical familiarity with hardware capabilities for deep learning – threads, caches, vector & matrix engines, data dependencies, bus widths and throttling
• Mathematics skills to support the above: calculus, probability theory and linear algebra
• Experience submitting papers to international scientific conferences or workshops