1 to 25 of 31 CUDA Jobs in the UK

Senior Practitioner+). Threat modelling experience for exascale/GPU workloads in classified environments. Desirable Skills/Experience Secure AI/ML pipelines on HPC (PyTorch/TensorFlow + CUDA hardening). Quantum-resistant cryptography for future HPC roadmap. Cross-domain/air-gapped solutions (data diodes, guarded transfers). Containerised HPC (Apptainer/Singularity, Kubernetes GPU operators). More ❯

Proven delivery on classified programmes (e.g., AWE exascale, DSTL AI clusters). Certifications: CISSP, OSCP, NCSC CCP (Senior), or equivalent. DESIRABLE SKILLS Secure AI/ML pipelines on HPC (CUDA hardening, PyTorch/TensorFlow). Quantum-resistant cryptography integration. Air-gapped/cross-domain HPC (data diodes, guarded transfers). Cloud-hybrid HPC (AWS HPC, Azure CycleCloud with gov More ❯

design for AI applications Collaboration and communication skills for cross-functional teams Software/Tools Nvidia AI Enterprise Suite Nvidia Metropolis Open USD Python, TensorFlow, PyTorch GPU computing platforms (CUDA, cuDNN) Containerisation and orchestration tools (Docker, Kubernetes) Cloud platforms supporting AI workloads (AWS, Azure, GCP) Please send your CV to discuss in more detail InterQuest Group is acting as More ❯

CI/CD Deep understanding of ML/DL algorithms, model evaluation, and data engineering Strong communicator and collaborator across technical and business teams Bonus Points Experience with NVIDIA CUDA, cuDNN, TensorRT, and GPU acceleration Familiarity with HPC workloads and vector databases (FAISS, Pinecone) Knowledge of ethical AI frameworks and global compliance standards Why HCLTech? Work on mission-critical More ❯

software on GitHub, PyPI, Anaconda Cloud, and Docker Hub, as well as use of Pytorch lightning, Git, test-driven design. Knowledge of parallel computing technologies, such as NVIDIA's CUDA platform, OpenCL, and OpenMPI. The salary range for Cambridge, UK: - Senior Scientist I, Computational Biology: £75,000 - £117,500 Senior Scientist II, Computational Biology: £94,000 - £152,500 Exact More ❯

Video Codec Experience: Familiarity with standard video codecs (e.g., H.264, H.265, AV1) and their integration in media pipelines. GPU Programming: Hands-on experience with GPU programming technologies, such as CUDA or OpenCL, to optimise performance for high-computation tasks. Scripting Knowledge: Proficiency in at least one scripting language like Python for automation and tool integration. Mentoring Junior Engineers: Experience More ❯

testing, and debugging on Linux-based systems. Desirable Skills Familiarity with UML and tools such as IBM Rhapsody. Experience using MATLAB and Python for data analysis. Knowledge of NVIDIA CUDA programming. Exposure to OpenDDS or other middleware communication frameworks. More ❯

testing, and debugging on Linux-based systems. Desirable Skills Familiarity with UML and tools such as IBM Rhapsody. Experience using MATLAB and Python for data analysis. Knowledge of NVIDIA CUDA programming. Exposure to OpenDDS or other middleware communication frameworks. More ❯

testing, and debugging on Linux-based systems. Desirable Skills Familiarity with UML and tools such as IBM Rhapsody. Experience using MATLAB and Python for data analysis. Knowledge of NVIDIA CUDA programming. Exposure to OpenDDS or other middleware communication frameworks. More ❯

design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training, MLOps, and academic research in machine learning are also beneficial. Experience configuring and maintaining cloud infrastructure including network infrastructure, compute More ❯

design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training, MLOps, and academic research in machine learning are also beneficial. Experience configuring and maintaining cloud infrastructure including network infrastructure, compute More ❯

EO Sensor perceives it. You will need Skills in Windows and Linux native software (C/C++), dynamic languages like python, GPU-acceleration and 3D graphics (Open GL, GLSL, CUDA, Vulkan), A strong software background including software architecture design, concurrency, synchronisation, and database design An appreciation of or the desire to learn the physics of the propagation of EM More ❯

EO Sensor perceives it. You will need Skills in Windows and Linux native software (C/C++), dynamic languages like python, GPU-acceleration and 3D graphics (Open GL, GLSL, CUDA, Vulkan), A strong software background including software architecture design, concurrency, synchronisation, and database design An appreciation of or the desire to learn the physics of the propagation of EM More ❯

EO Sensor perceives it. You will need Skills in Windows and Linux native software (C/C++), dynamic languages like python, GPU-acceleration and 3D graphics (Open GL, GLSL, CUDA, Vulkan), A strong software background including software architecture design, concurrency, synchronisation, and database design An appreciation of or the desire to learn the physics of the propagation of EM More ❯

EO Sensor perceives it. You will need Skills in Windows and Linux native software (C/C++), dynamic languages like python, GPU-acceleration and 3D graphics (Open GL, GLSL, CUDA, Vulkan), A strong software background including software architecture design, concurrency, synchronisation, and database design An appreciation of or the desire to learn the physics of the propagation of EM More ❯

or related field, or equivalent experience in 3D graphics or ML systems. Strong in C Python, 3D graphics pipelines, inverse rendering, and geometry processing. Experience with GPU programming (OpenGL, CUDA, Vulkan), PyTorch/TensorFlow, and real-time engines (Unity/Unreal). Solid grasp of optimization, linear algebra, computer vision, and numerical methods. Skilled in multithreading, memory management, and More ❯

or related field, or equivalent experience in 3D graphics or ML systems. Strong in C Python, 3D graphics pipelines, inverse rendering, and geometry processing. Experience with GPU programming (OpenGL, CUDA, Vulkan), PyTorch/TensorFlow, and real-time engines (Unity/Unreal). Solid grasp of optimization, linear algebra, computer vision, and numerical methods. Skilled in multithreading, memory management, and More ❯

or related field, or equivalent experience in 3D graphics or ML systems. Strong in C Python, 3D graphics pipelines, inverse rendering, and geometry processing. Experience with GPU programming (OpenGL, CUDA, Vulkan), PyTorch/TensorFlow, and real-time engines (Unity/Unreal). Solid grasp of optimization, linear algebra, computer vision, and numerical methods. Skilled in multithreading, memory management, and More ❯

Software environment. Key Skillset Strong C++ knowledge Knowledge of Rhapsody UML Competent with MS word, for reviewing and updating technical documentation. Experience of RTC/EWM would be beneficial CUDA experience would be beneficial Due to the nature of this project the right behaviours are important can-do attitude, proactive & adaptable and strong communicator. More ❯

configuration management tools (Ansible, Puppet, or similar). Experience deploying and operating large-scale GPU clusters or HPC systems. Working knowledge of ML infrastructure and familiarity with GPU drivers, CUDA, and container runtimes. A low-ego, collaborative approach and a clear, proactive communication style. In short: This is a role for engineers who like big systems, hard problems, and More ❯

configuration management tools (Ansible, Puppet, or similar). Experience deploying and operating large-scale GPU clusters or HPC systems. Working knowledge of ML infrastructure and familiarity with GPU drivers, CUDA, and container runtimes. A low-ego, collaborative approach and a clear, proactive communication style. In short: This is a role for engineers who like big systems, hard problems, and More ❯

compilers Knowledge of compiler theory and optimization strategies Nice to Have Experience with GPU-specific compilation Background in LLVM backend development Knowledge of graphics/compute APIs like OpenCL, CUDA, Vulkan, or DirectX Interview Process 2 stage recruitment process consisting of an online technical test and a 1.5 hour video interview. More ❯

Skillset/experience required: Strong C++ knowledge Knowledge of Rhapsody UML Competent with MS word, for reviewing and updating technical documentation. Experience of RTC/EWM would be beneficial CUDA experience would be beneficial More ❯

Skillset/experience required: Strong C++ knowledge Knowledge of Rhapsody UML Competent with MS word, for reviewing and updating technical documentation. Experience of RTC/EWM would be beneficial CUDA experience would be beneficial More ❯

and architecture of GPU IPs - 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 latest products and features Ability More ❯