5 of 5 Parallel Computing Jobs in the South East

dynamic environment with varied and challenging projects. Depending on your skills and interests, you could be working on areas such as developing complex algorithms for physical process modelling, applying parallel computing to large-scale simulations, creating intuitive user interfaces (UIs), and producing high-quality 2D and 3D graphics. You will collaborate closely with engineers and scientists from diverse … wants to enhance their technical skills in an environment that encourages growth and innovation. Key Responsibilities: Develop and optimize algorithms for simulating physical processes and industrial systems. Work with parallel processing technologies to accelerate large-scale computations. Design and implement intuitive graphical user interfaces (GUIs) for complex modelling software. Contribute to the development of high-quality 2D and 3D More ❯

Additional experience with: GUI development (Qt, QML); 3D graphics toolkits (OpenGL, Vulkan or shaders); CI experience (CMake, JIRA, Git, Jenkins); GIS development tools (GDAL API, MapBox API); multithreading/parallel computing (GPU programming or CUDA); MATLAB/Python scripting for mathematical/geology problems would be advantageous. Due to specific requirements, applicants without the relevant project experiences will More ❯

Additional experience with: GUI development (Qt, QML); 3D graphics toolkits (OpenGL, Vulkan or shaders); CI experience (CMake, JIRA, Git, Jenkins); GIS development tools (GDAL API, MapBox API); multithreading/parallel computing (GPU programming or CUDA); MATLAB/Python scripting for mathematical/geology problems would be advantageous. Due to specific requirements, applicants without the relevant project experiences will More ❯

your code. You have a 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 workflow. You have experience in More ❯

and optimisation to maximise performance 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 (MPI, OpenMP) for distributed AI processing. Deep understanding of AI model architectures, algorithms, and frameworks (TensorFlow, PyTorch) and their More ❯