1 to 25 of 26 Permanent CUDA Jobs in the UK excluding London

Spark or distributed data processing * Docker, Kubernetes or Cloud Run * Terraform or other infrastructure-as-code technologies * GPU or accelerated computing technologies such as CUDA, CuPy or Numba * Numerical or high-performance computing * Insurance, finance, risk, analytics or other data-intensive environments Why Join? This is an opportunity ...

camera data processing. Experience with IMU/GNSS-aided sensor fusion. Experience with C++, C# or Python in engineering software. Familiarity with Linux, Docker, CUDA or GPU acceleration. Understanding of navigation, localisation or mapping products. Familiarity with React or web-based visualisation tools. Experience using AI coding assistants ...

/Git) Familiarity with development to design and coding standards. Good teamwork and communication abilities Useful to have Python, C#, LabVIEW software development Experience CUDA integration (AI/ML) Industrial protocols (read-across to Synergia etc.) Experience with Infrared Physics, Computer Science, Software Engineering, ITQSB or Relevant Higher Level ...

Excel/Google Sheets or Python modelling experience) to forecast system behaviour Optimisation of code running on GPUs and/or other accelerators (e.g. CUDA) Solid understanding of computer architecture fundamentals and how LLMs and Deep Learning models execute on that hardware (inference vs. training, matrix multiplication, KV-caching ...

experience working as a Senior Software Engineer with deep expertise in both Python and low-level programming (e.g. C/C++, Rust, assembly or CUDA). A history of direct contributions to vLLM or similar high-performance open-source ML/AI projects (e.g. PyTorch, Hugging Face TGI, TensorRT ...

happy picking up new tech and methods Willingness to travel occasionally, UK and abroad Nice to have: Qt, Python/bash scripting, OpenCV, CUDA, experience on real-time or mission-critical software. Why it's worth a look 4½ day working week Real variety: code, maths, hardware, trials Joining ...

Some Linux administration; understanding setup for HPC middleware. Nice to Haves: 5+ years HPC application experience Experience building and running HPC applications on GPU. CUDA or OpenACC or OpenMP paradigms. xehkeey Experience running AI models on CPU or GPU. Any experience understanding/inspecting/writing assembly Understanding ...

understanding of packaging, type checking, and performance profiling. APIs : Proficiency in gRPC/Protobuf and REST for cross-language integration. Performance Optimization : GPU acceleration (CUDA/cuDNN), mixed precision, XLA, profiling. Observability : Metrics, tracing, structured logging, dashboards. Security : SBOM, image signing, role-based access, vulnerability scanning. Preferred Qualifications Experience ...

forecasting tools, Python or spreadsheet-based, from research, a thesis, a placement, or serious personal projects Hands-on work with GPU or accelerator code, CUDA or similar Familiarity with profiling tools (Nsight, PyTorch Profiler) and ideally some exposure to monitoring stacks (Prometheus, Grafana) Strong Python for data work, Pandas ...

Experience with developing serving infrastructure. Experience programming hardware accelerators (GPUs, TPUs) via ML frameworks (e.g., JAX, PyTorch) or low-level programming models (e.g., Pallas, CUDA, OpenCL). Experience profiling software to identify performance bottlenecks. Experience with distributed ML systems optimization and parallelism (e.g., data, model, or pipeline parallelism). ...

range widely, and include: Scientific tools Embedded C/C++ (typically owned by dedicated firmware engineers, but software engineers are welcome to learn!) Linux, CUDA, Server engineering for our AI safety, - security, and verification work Custom simulation software (usually python) Data analysis pipelines (python) What is it like ...

engineering problems. Please note that visa sponsorship is not available for this contractor role. Desired: Experience with GPU or NPU programming environments such as CUDA, ROCm, OpenCL or CANN/Ascend. Experience with AI frameworks or inference/serving systems such as PyTorch, vLLM, SGLang, ONNX Runtime, or similar ...

recruitment. Building engineering teams through hiring, onboarding, mentoring or capability development. Open-source development or large software projects with complex dependencies. Vulkan, OpenCL, CUDA, DirectX, Metal or similar graphics and compute APIs. Machine learning frameworks, inference runtimes or model tooling. CI/CD, CMake, cross-compilation, packaging or developer ...

training and post-training (PPO, GRPO or similar) LLM agent systems and tool-driven automation Compilers or low-level performance kernels (LLVM/MLIR, CUDA/Triton, SIMD) Evidence of building a non-trivial system end-to-end, such as an open-source project, a simulator extension, a compiler ...

range of hardware from resource constrained embedded systems through to cloud computing is desirable. As is any knowledge of GPU programming languages and frameworks (CUDA, ROCm, etc). Your future colleagues will be similarly highly skilled, with experience across industry and the drive to innovate. You will find yourself ...

Graph RAG techniques Experience building and scaling AI/ML workloads using distributed training/serving frameworks (e.g., Ray) and GPU acceleration (e.g., CUDA) environments. Proficiency with modern AI system architectures and patterns, including RAG, agentic RAG, and multi-agent systems. Familiarity with LLM evaluation methodologies across quality, safety ...

years of experience working in frontier AI research labs on pre-training or post-training teams. Experience writing TPU/GPU kernels (e.g., JAX, CUDA) to optimize model performance and real-time inference. Experience designing, training, and scaling generative pixel or real-time video architectures. Track record of cross ...

Agentic and Graph RAG techniques Experience building and scaling AI/ML workloadsusingdistributed training/serving frameworks (e.g., Ray) and GPU acceleration (e.g., CUDA) environments. Proficiency with modern AI system architectures and patterns, including RAG, agentic RAG, and multi-agent systems. Familiarity with LLM evaluation methodologiesacross quality, safety ...

performance computing environments and infrastructure design Experience working with open-source technologies and software-defined data centres Knowledge of HPC software stacks including MPI, CUDA, compilers, and scientific libraries Familiarity with containerisation and reproducible workload environments Experience working within large, complex, or multi-national organisations Ability to influence technical ...

workload modellingIdentify and eliminate architectural bottlenecks Workload & Software Ecosystem Define strategies for workload orchestration (SLURM, Kubernetes for HPC, etc.) Guide software stack design (MPI, CUDA, compilers, libraries, containers) Ensure reproducibility, portability, and performance of workloads Our company: Peace is not a given, Freedom is not a given, Sovereignty ...

teams across national and international sites to deliver scalable, high-throughput infrastructure. You will drive workload strategies with SLURM, Kubernetes for HPC, MPI/CUDA stacks, and ensure reproducibility and portability of workloads while partnering with MBDA vendors #J-18808-Ljbffr ...

advancing AI and engineering best practices. Day-to-day tasking can include: Working on high-throughput vision systems on NVIDIA Jetson hardware, involving; CUDA/TensorRT acceleration Multi-modal (thermal + optical) sensors Robust real-time tracking Exploring AI Assurance and AI Safety Delivering technical expertise on a variety … Skills: We are interested in the following skills, but they are not essential for you to apply: Knowledge of C++, Python, PyTorch, OpenCV, CUDA, TensorRT, Git, WSL, Docker, Jira/Confluence Machine Learning and Deep Learning Computer Vision methodologies and algorithms MLOps Developing AI for use on Edge Computers ...

About Huawei Research and Development UK Limited Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and operate in over ...

scientific policy engagement, grant processes, or national/European research program structures. Experience with NVIDIA's stack for visual and multimodal AI, built on CUDA and CUDA-X, including Cosmos world foundation models, NeMo Framework and Megatron for multimodal model training, multimodal Nemotron methodology, Isaac robotics platform, NuRec ...

leadership for software and multi-disciplinary engineering teams, drives innovation in products and services, and influences strategic technology direction. Leveraging deep expertise in C++, CUDA, Linux systems, kernel and user-space development, the role solves complex technical challenges, mentors engineers, and collaborates across functions to deliver high-quality, high … relevant experience in a similar role (~8 years) with the ability to add value with limited development Experience Strong knowledge and demonstrable experience of CUDA and C++ Hands‐on experience in working within a structured engineering environment that includes: Requirements Analysis/Definition Design/Implementation Defect Tracking Testing ...