11 of 11 CUDA Jobs in the South East

organisational skills Additional skills in any of the following also beneficial C#, WinForms, WPF, Qt/QML framework, HTML5, experience with algorithmic problems (OpenCL, CUDA), Machine learning and AI, OpenGL, OpenGL Shaders, VTK, OSG, Vulkan, JIRA, TestRail, TFS, Git, Jenkins, csh/bash, batch files, cmake, PowerShell. About the More ❯

or Fortran). - Further experience with C# (including WinForms, WPF, QML Frameworks) would be desirable. - Strong numeracy and understanding of mathematical modelling. - Experience with CUDA, multithreading, AI/ML would be advantageous. - Any exposure to 3D/2D graphics development (OpenGL, Vulkan) would be beneficial. The company offers an More ❯

systems is a plus. Experience with Rust is a plus. Familiarity with embedded systems and real-time operating systems is a plus. Familiarity with CUDA for GPU programming and experience with efficiency optimizations is a plus. Analytical Skills: Strong analytical and problem-solving skills with a focus on delivering More ❯

systems. Familiarity with SOLID principles and modern software design patterns. Experience with Docker and build pipelines. Proficient in version control using Git. Experience with CUDA for GPU programming. Solid understanding of Linux systems. Additional Technical Skills (Desired): Python, QT, and QML development. Familiarity with Atlassian Jira and Confluence. Experience 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 ❯

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 ❯

a strong focus on memory management, multi-threading, and low-level performance optimizations. Experience with GPU architectures (e.g., NVIDIA, AMD) and programming frameworks like CUDA, OpenCL, and TensorFlow. Understanding of machine learning algorithms, including model training and inference, and how to optimize these for GPU-based computation. Strong knowledge 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 ❯

hands-on experience with real-time, low-latency ML pipelines in high-performance environments. They should possess strong engineering skills, including expertise in Python, CUDA, or C++. They should also have knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX. Additionally, the candidate should be proficient in 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 ❯