6 Parallel Computing Jobs in the South East

on specialized hardware Optimizing AI model inference pipelines for performance, efficiency, and scalability on hardware accelerators Hardware-software co-design Desired experience Knowledge of parallel computing principles and experience with parallel programming models (e.g., MPI, OpenMP) for distributed AI processing What’s on offer? Competitive base, share more »

compute systems Deep understanding of transformer/LLM architectures Hardware bottlenecks and how to mitigate them SW-HW co-design Desired experience Knowledge of parallel computing principles and experience with parallel programming models (e.g., MPI, OpenMP) for distributed AI processing What’s on offer? £100-150k more »

on specialised hardware. Strong understanding of hardware-software co-design principles, including memory hierarchy optimisation, cache management, and hardware/software partitioning. Knowledge of parallel computing principles and experience with parallel programming models (e.g., MPI, OpenMP) for distributed AI processing. Deep understanding of AI model architectures, algorithms more »

s global R&D activity, conducts research and innovation – achieving together whilst supporting our employees. We are currently looking for a researcher in our Computing Research Group, working on exploring how the use Graph Neural Networks for healthcare related applications. We have a strong preference for the development of … languages (Python preferred) A track record of writing academic publications Excellent written and verbal communication skills The following skills are desirable: -Large scale/parallel computing -Multi-modal or explainable machine learning methods -Working with knowledge graphs and graph databases Achieve together We want the best people on more »

good understanding of design choices for data storage and data processing, with a particular focus on cloud data services. You have experience in using parallel computing to process large datasets and to optimise computationally intensive tasks. You have experience in programmatically deploying, scheduling and monitoring components in a more »

good understanding of design choices for data storage and data processing, with a particular focus on cloud data services. You have experience in using parallel computing to process large datasets and to optimise computationally intensive tasks. You have experience in programmatically deploying, scheduling and monitoring components in a more »