16 of 16 Permanent CUDA Jobs in London

and collaboration skills to work effectively in multidisciplinary teams.• Knowledge of ethical AI practices and laws is a plus. Preferred Skills: Knowledge of NVIDIA CUDA, cuDNN, TensorRT and Experience with NVIDIA GPU hardware and software stack Understanding of HPC and AI workloads. Familiarity with BigData platforms and technologies, such More ❯

a 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 More ❯

to 5 years' experience building technical or scientific software Bonus if you have understanding of: CFD, meshing, parallel computing, GPU's such as CUDA, and or CAD More ❯

AI/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 More ❯

solutions. Proficiency in C++. Desirable experience: PhD in computer vision or robotics. Experience with machine learning techniques for geometric & semantic estimation. GPU programming skills (CUDA, OpenCL, Vulkan, Metal). Experience with embedded software development. If this role is of any interest please apply directly on LinkedIn or send a More ❯

Sports tech experience: Background applying AI/ML in the sports domain for data generation or insights. Systems optimisation: Knowledge of GPU kernel development (CUDA, OpenCL, etc.), real-time system optimisation (e.g., Nvidia NSight), or experience working with embedded SoCs (Nvidia, Qualcomm, etc.). If you're interested in More ❯

Sports tech experience: Background applying AI/ML in the sports domain for data generation or insights. Systems optimisation: Knowledge of GPU kernel development (CUDA, OpenCL, etc.), real-time system optimisation (e.g., Nvidia NSight), or experience working with embedded SoCs (Nvidia, Qualcomm, etc.). If you're interested in More ❯

e.g., DDP, FSDP) and model performance optimization • Experience with GPU architectures, cloud platforms, and hardware tradeoffs • Familiarity with low-level hardware tuning and custom CUDA kernel development Key Responsibilities • Develop cutting-edge AI models for drug discovery using deep learning frameworks • Scale and optimize distributed training of large AI More ❯

Hands-on with monitoring tools like Prometheus and Grafana Nice to have: Experience building Developer Experience (DevX) tools and workflows Familiarity with GPU setups (CUDA, TensorFlow, etc.) Strong networking and network security knowledge Linux/Unix skills and shell scripting A degree in Computer Science or a related field More ❯

scale. Essential Requirements: Proven experience as an Engineering Manager delivering complex engineering projects. Expertise in developing GPU kernels and/or ML compilers (e.g., CUDA, OpenCL, TensorRT, MLIR, TVM). Experience optimizing systems to meet strict utilization and latency requirements. Excellent interpersonal and communication skills. Desirable: Experience with C++ More ❯

Senior CFD Software Engineer London I'm currently supporting a Fortune 100 organisation and a global leader. In this role, you will design and enhance solver features for both CPU and GPU, as well as develop pre- and post-processing More ❯

with low-level system and memory management techniques to minimize latency and improve real-time inference performance. Utilizing and implementing GPU programming APIs (e.g., CUDA, OpenCL) to ensure high efficiency and compatibility across GPUs. Profiling and debugging system performance using tools like NVIDIA Nsight, Intel VTune, and vendor-specific … years of experience in C++ programming, with a strong grasp of modern C++ standards. Proven experience in GPU programming and optimization, with proficiency in CUDA, OpenCL, or other GPU programming frameworks. Strong knowledge of parallel computing concepts, including data locality, memory access patterns, and synchronization. Proficiency with performance profiling More ❯

or embedded environments Proficient in modern C++ development Preferred Familiarity with machine learning for semantic/geometric inference. Experience in GPU computing, e.g. Vulkan, CUDA, OpenCL or Metal Exposure to embedded systems development. Feel free to also refer someone you may know who could be good for the role. … If they are successfully placed, we offer a great referral scheme! Key words – SLAM/State Estimation/Computer Vision/Robotics/CUDA/Vulkan/OpenCL/Metal/Sensor Fusion/Embedded Systems/Semantic Inference/Geometric Inference/C++/Spatial AI By applying More ❯

likely thrive in this role if you have: Technical Experience Strong engineering skills in Python, C++, or Rust Proven experience with GPU performance engineering: CUDA, PTX/SASS, Tensor Cores, memory hierarchy, warp-level primitives Familiarity with ML frameworks like PyTorch, and their internals Proficiency in profiling and debugging … tools like NSight, CUDA GDB, nvprof, NSight Compute Deep knowledge of Triton, cuDNN, cuBLAS, CUTLASS, CUB, or similar libraries Experience optimising across the stack: from kernel-level compute to cluster-wide networking and memory IO Systems Fluency Background in distributed systems or HPC: understanding of Infiniband, NVLink, RoCE, GPUDirect More ❯

Environment: The team works across a diverse stack including: Linux (essential) , Windows, MacOS, Microsoft 365, Azure AD, Intune, Teams (incl. voice), NICE DCV, Slurm, CUDA, Jira Service Desk, Terraform, SiteGround, Confluence, and more. 💡 Ideal Candidate: 2+ years’ experience in IT support or service desk environments Strong hands-on Linux … endpoint management tools Solid communication skills and a collaborative mindset Comfortable writing clear documentation and following support best practices 💡 Bonus Points: Experience with Slurm, CUDA, NICE/Amazon DCV, or Citrix Infrastructure automation or scripting (e.g. Bash, PowerShell, Terraform) Understanding of network protocols (TCP/IP, DNS, DHCP) Familiarity More ❯

Stack & Environment: Work across a modern tech landscape including: Linux, Windows, MacOS, Microsoft 365, Azure AD, Intune, Teams (incl. voice integration), NICE DCV, Slurm, CUDA, Jira Service Desk, Terraform, SiteGround, Confluence, and more 💡 What We’re Looking For: 2+ years of experience in IT support or service desk operations … across Windows, Linux, and MacOS Experience with Microsoft cloud environments and endpoint management Clear communicator with good documentation practices 💡 Bonus Points: Exposure to Slurm, CUDA, Infiniband, or NICE/Amazon DCV Experience with infrastructure automation or scripting (e.g. Terraform) Understanding of SSL management and monitoring tools like Site24x7 Familiarity More ❯