12 of 12 Remote CUDA Jobs in the UK excluding London

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 not More ❯

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 not More ❯

definitions Test frameworks and test development (not test-driven development) Microservices architecture/containerisation (development of containerised plugins, with potential to replace existing components) CUDA integration (AI/ML) Development of new applications to meet user expectations within formal constraints, including HMI/GUI/UX experience Familiarity with More ❯

development Machine-to-machine networking, working to third-party interface definitions Test frameworks and test development (not test-driven development) Microservices architecture/containerisation CUDA integration (AI/ML) Development of new applications to meet user expectations and within formal constraints. HMI/GUI/UX experience needed. Familiarity More ❯

not test-driven development) Microservices architecture/containerisation (needs funding but we can develop containerised plugins going forward and replace existing in slow-time) CUDA integration (AI/ML) Development of new applications to meet user expectations and within formal constraints. HMI/GUI/UX experience needed. Familiarity More ❯

AI/ML in the sports domain to create insights or data. Advanced systems knowledge, such as: Developing GPU kernels or ML compilers (e.g., CUDA, OpenCL, TensorRT Plugins, MLIR, TVM ). System optimization for latency and utilization , using tools like Nvidia NSight . Working with embedded SoCs (e.g., Nvidia More ❯

Sports tech experience: Background applying AI/ML in the sports domain for data generation or insights. Systems optimisation: Knowledge of GPU kernel development (CUDA, OpenCL, etc.), real-time system optimisation (e.g., Nvidia NSight), or experience working with embedded SoCs (Nvidia, Qualcomm, etc.). If you're interested in More ❯

Hands-on with monitoring tools like Prometheus and Grafana Nice to have: Experience building Developer Experience (DevX) tools and workflows Familiarity with GPU setups (CUDA, TensorFlow, etc.) Strong networking and network security knowledge Linux/Unix skills and shell scripting A degree in Computer Science or a related field More ❯

Flux, and similar architectures 🚀 Experience fine-tuning and optimising visual models 🚀 Hands-on experience with PyTorch, JAX, or TensorFlow 🚀 Proficiency in GPU inference optimisation (CUDA, BitsAndBytes, PEFT) 🚀 Experience deploying ML models using Kubernetes and/or Docker 🚀 Strong experience with Python and software engineering best practices 🚀 Experience integrating visual More ❯

1+ years of experience of using parallel and/or accelerated applications using more than one of OneAPI, Intel Gaudi software suite, OpenMP, MPI, CUDA, ROCm, OpenCL, SYCL. We will also consider candidates who lack some of the requirements but can demonstrate ability to learn quickly. The following competencies … running performance tests and benchmarking codes. Experience of using or developing parallel and/or accelerated applications using more than one of OpenMP, MPI, CUDA, ROCm, OpenCL, SYCL paradigms. Experience of production HPC environment: large-scale filesystems (ideally Storage Scale), batch scheduling (ideally SLURM) as well as common HPC More ❯

to hear from you.) 💡 The Stack & Environment: A diverse, modern environment spanning: Linux, Windows, MacOS, Microsoft 365, Azure AD, Intune, Teams, NICE DCV, Nvidia CUDA, Slurm, Jira Service Desk, Terraform, Azure Resource Manager 💡 What We’re Looking For: 2+ years of experience administering HPC infrastructure Hands-on experience with … Infiniband, Slurm, and GPU compute platforms (e.g. CUDA) Proficiency in systems administration and troubleshooting Strong documentation habits and a customer-focused mindset Experience with VDI solutions and monitoring tools 💡 Bonus Points: Familiarity with Jira Service Desk and Terraform scripting Exposure to SSL management, infrastructure-as-code, or cloud database More ❯

Stack & Environment: Work across a modern tech landscape including: Linux, Windows, MacOS, Microsoft 365, Azure AD, Intune, Teams (incl. voice integration), NICE DCV, Slurm, CUDA, Jira Service Desk, Terraform, SiteGround, Confluence, and more 💡 What We’re Looking For: 2+ years of experience in IT support or service desk operations … across Windows, Linux, and MacOS Experience with Microsoft cloud environments and endpoint management Clear communicator with good documentation practices 💡 Bonus Points: Exposure to Slurm, CUDA, Infiniband, or NICE/Amazon DCV Experience with infrastructure automation or scripting (e.g. Terraform) Understanding of SSL management and monitoring tools like Site24x7 Familiarity More ❯