6 of 6 Permanent CUDA Jobs in Glasgow

automation tools (e.g., Ansible, PXE, Terraform). Experience with monitoring tools such as Prometheus, Grafana, and DCGM. Understanding of GPU/accelerator toolchains like CUDA or ROCm. A proactive, customer-first mindset with strong communication skills. Ability to work effectively in both individual and team settings. Comfort operating in More ❯

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 ❯

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 ❯

robot behavior. Enhance the efficiency of machine learning models through techniques like quantization, pruning, and other optimization methods. Harness the power of GPUs through CUDA, Python, or Jax to accelerate simulations and training processes. Qualifications: Solid understanding of control theory, with a focus on manipulation and locomotion tasks. Proficiency … in Python/C++ and deep learning frameworks like PyTorch. Extensive experience with GPU programming, including CUDA and GPU-accelerated libraries. Experience with robotics simulation frameworks (e.g., OpenAI Gym) is a plus. Experience working with physical robots is beneficial. Thrives in a fast-paced, dynamic environment and possesses the 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 ❯