and 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 More ❯
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 of More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Platform Recruitment
and compute workloads on cutting-edge GPU architectures. About you: 6 years+ as a driver engineer Strong C++ or C programming skills Experience with OpenCL or Vulkan (other graphics APIs are also fine) Strong knowledge of GPU development Full details are available. Please don't hesitate to get in More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Platform Recruitment
programming skills Familiar with one of more GPU architecture Understanding of compute library frameworks Knowledge of at least one GPU programming model (E.g., CUDA, OpenCL, HIP, SYCL) Full details are available. Please don't hesitate to get in touch with max@platform-recruitment.com to learn more. More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Enigma
/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, Qualcomm More ❯
Farnborough, Hampshire, United Kingdom Hybrid / WFH Options
Avature
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 are welcome … 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 SW and More ❯
