written and verbal communication skills, work well within a multinational team and with multinational customers. Excellent cultural awareness is essential. Experience developing firmware or drivers for GPUs. Knowledge of CUDA or OpenCL Experience working on upstreaming of kernel code/contributing to Linux kernel. Exposure to integration with data centre/cloud service operations - for example integration with Kubernetes More ❯
language, vision and other modalities, machine learning for molecules and proteins (ideally with some background in chemistry and biological sciences). 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 More ❯
large language models, efficient computing based on low-precision arithmetic, deep learning models including large generative models for language, vision and other modalities . Experience writing C Triton/CUDA kernels for performance optimisation of ML models. Have contributed to open-source projects or published research papers in relevant fields. Knowledge of cloud computing platforms. Keen to present, publish More ❯
