Jira, Confluence, Git/GitHub, Perforce Helix ALM. Installer Development: Familiarity with WiX (Visual Studio tool) for building software installers. Specialized Technologies: Knowledge of cuda, gdal, Kakadu (kdu), QT5, OpenCV, SQLite, libAV, jpeg8, CMAKE, G . Join us in shaping cutting-edge software solutions for defense and sensor technologies. More ❯
aberdeen, north east scotland, United Kingdom Hybrid / WFH Options
IC Resources
Graphics Hardware Processors (5 - 10+ years' experience) Strong understanding of modern 3D graphics and/or compute APIs, such as Vulkan, D3D12 and OpenCL, CUDA etc. Definition of high-level GPU architecture/micro-architecture Confidence knowledge in the ASIC digital design flow Experience in R&D of the More ❯
aberdeen, north east scotland, United Kingdom Hybrid / WFH Options
European Tech Recruit
technical documentation and feature descriptions for GPU projects. Requirements: Strong C/C++ competency Competent with LLVM, knowledge of MLIR Understanding of GPGPU API; CUDA, OpenCL or SYCL. Deep understanding of GPU architecture, data structures and algorithms 3+ years experience of ASIC design, verification, validation and integration If this More ❯
Frontend/Backend LLVM or MLIR. Strong programming language skills with C and/or C++. Familiarity with a GPGPU API such as SYCL, CUDA or OpenCL. Open Source code commits and reviews are beneficial. Experience of low level software or hardware development that require looking at computer architecture …/LLVM/GCC/OpenSource/Linux/C/C++/Low level/Hardware/debuggers/Fortran/OpenCL/CUDA/MLIR/Machine Learning/GPU/GPGPU By applying to this role you understand that we may collect your personal data and More ❯
systems for data ingestion, processing, and model customisation. Optimise GPU utilisation and system performance using frameworks like DeepSpeed, Triton Inference Server, TensorRT, and custom CUDA/Rocm kernels. Conduct performance testing and resolve bottlenecks across training, fine-tuning, and inference workflows. Document and build tooling to ensure successful use … multimodal generative models. Expertise in distributed training frameworks like DeepSpeed or Fully Sharded Data Parallel (FSDP). Experience with GPU programming and optimisation e.g CUDA, TensorRT, or ROCm. Knowledge of fine-tuning methods, such as LoRA, prefix-tuning, and adapter-based techniques, and experience improving model performance. Experience with More ❯
