3 of 3 Remote Parallel Programming Jobs in the UK excluding London

you to have experience in some of the following: The ability to programme in C, C++, Fortran, or a similar high-level language. Knowledge of computer architectures, in particular, parallel architectures (including accelerators such as GPUs) and their applicability to running large scientific calculations. Familiarity with parallel programming concepts – both threading and MPI style parallelism. An understanding More ❯

or equivalent experience. Nice to Have Familiarity with GPU hardware architecture, including memory management, GPU-facing data structures, and GPU-specific synchronization mechanisms, particularly CPU-GPU coordination. Understanding of parallel programming principles, including threading models, synchronization mechanisms, and techniques for resolving concurrency issues. Debugging and problem-solving skills, especially when working across hardware and software boundaries. Methodical, analytical More ❯

integrate kernels into the NPU framework. What's required for a successful CUDA Kernel Developer? Extensive experience in kernel development projects for GPUs Involvement in OpenCL, CUDA or similar parallel programming languages Understanding of ML frameworks - TensorFlow, PyTorch etc Strong C++ development skills Ability to work independently in a fast-paced environment If you are a CUDA Kernel More ❯