1 to 25 of 26 Remote/Hybrid CUDA Jobs in the UK

newsletter mpi virtualisation beegfs cloudkitty sriov cluster training ciuk operations recruitment network overcloud slinky ceph data github ucx galaxy cloud-init storage gpu grafana cuda vm kata ci roce runc dnf StackHPC develops open source cloud infrastructure for research computing, HPC and AI. We are proud to work with ...

communication skills. Desirable experience Vision Transformer architectures. Object detection, tracking, segmentation or pose estimation. Multi-object localisation or multi-modal perception systems. GPU optimisation, CUDA, inference acceleration or edge AI. Real-time computer vision systems. Docker, Kubernetes, Kubeflow or MLOps pipelines. Aerial, satellite or ISR imagery. Synthetic data generation ...

into reliable software. Experience developing maintainable code using version control, testing and CI/CD. Strong analytical, problem-solving and communication skills. Desirable experience CUDA and GPU programming. Python and PyTorch. CNNs, Transformers or broader deep learning architectures. Synthetic training imagery and simulation environments. ISR imagery or defence-related ...

lifecycle of models in a multi‐tenant, high‐availability system. Familiarity with building ML inference services, model serialization (e.g., ONNX), and GPU programming (CUDA). You've built or worked on custom storage or job‐queueing systems before and have the scars to prove it. Maybe ...

Tune, or similar frameworks Strong engineering practices: reproducible experimentation, clean code, testing, and performance-aware debugging Comfort with modern ML infrastructure (e.g., Docker, CUDA, Kubernetes, experiment tracking tools such as Weights & Biases) PREFERRED Experience with multimodal or multi-task model architectures Training and inference optimization (e.g., mixed precision, kernel ...

/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 ...

systems, including vector database management and semantic search optimization. Preferred Qualifications Experience in the insurance or financial services sector. Deep knowledge of GPU architecture , CUDA, and hardware-level performance optimization. Familiarity with Document Intelligence frameworks (OCR, layout analysis, and multimodal extraction). MUST be fluent in Mandarin OR Cantonese ...

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. Experience running AI models on CPU or GPU. Any experience understanding/inspecting/writing assembly Understanding of memory ...

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 ...

complex APIs, third-party libraries, and scalable data pipelines. Desirables: Direct experience with FFmpeg or GStreamer. Familiarity with GPU-accelerated video/AI tech (CUDA, PyTorch, TensorRT, DeepStream). Experience with multimodal AI (VLMs, LLM APIs, Retrieval-Augmented Generation). Cloud and containerization skills (AWS, Docker). If this ...

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 ...

throughput distributed systems Background in AI media generation (image, video, audio) Experience building internal ML tooling or developer-facing APIs Experience with kernels in CUDA/C++ We're a remote-first team that comes together in person twice a year to plan, collaborate, and celebrate wins. ...

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 ...

time alerts. Experience with transformer-based and multimodal architectures, including vision-language models (VLM), vision-language-action models (VLA), or equivalent. Proficiency in C++, CUDA, distributed training, or performance optimization for production machine learning systems. This is a full-time role based in our office in London. At Wayve ...

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 ...

with tight constraints (latency, memory, bandwidth, power/thermal, or cost). Strong proficiency with at least one relevant stack/toolchain (e.g. TensorRT, CUDA, Qualcomm QNN, Triton, OpenCL) and confidence learning adjacent frameworks quickly. Comfort operating at multiple levels of abstraction — from high‐level model behaviour down ...

plus; a strong background in mathematics is required. Alternatively, experience training models with strong math skills. Strong coding ability in Rust (preferred), CUDA, or C. Solid understanding of transformer architectures. A product mindset; you’ll build production‐ready products. Hybrid Remote with the London Office. What ...

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 ...

optimize the end-to-end ML stack: data pipelines, training loops, inference serving, and deployment. Design and implement GPU-accelerated components, including custom CUDA kernels where off-the-shelf libraries are not enough. Work closely with the founders to translate product requirements into concrete optimization goals and technical roadmaps. ...

more important than writing kernels from scratchExcellent collaboration skills. Nice to have: Experience with general LLM serving stacks. Knowledge of XLA, Triton, Pallas, CUDA or similar accelerator DSLs/compilers. Experience with optimising ML accuracy using low-precision formats. Prior experience building, deploying and maintaining production systems on GCP.Interest ...

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 ...

week. Experience for the Senior GPU Software Engineer includes: 5+ years of software engineering experience with significant GPU or high-performance computing experience Strong CUDA and GPU programming experience Excellent C++ programming skills Strong understanding of CPU/GPU interaction and data movement #J-18808-Ljbffr ...

week. Experience for the Senior GPU Software Engineer includes: 5+ years of software engineering experience with significant GPU or high-performance computing experience Strong CUDA and GPU programming experience Excellent C++ programming skills Strong understanding of CPU/GPU interaction and data movement If you are a Senior ...

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 ...

engineers who have: A track record of working on model training or model inference at scale , or on low‐level GPU coding (e.g. CUDA, Triton). Experience with one is great, multiple is even better. What will I be doing? As a Senior AI Infrastructure Engineer focused on model … Model training (especially transformers and LLMs). Model inference at scale (again, especially transformers and LLMs). Low‐level GPU work , such as writing CUDA or Triton kernels. Comfortable working in production environments at meaningful scale (traffic, data, or organizational). You communicate clearly, can explain complex technical topics ...