1 to 25 of 267 CUDA Jobs in England

Strong mathematical and analytical problem-solving skills. Desirable Skills: Experience with C# .NET, WinForms, WPF, or the Qt/QML framework, or HTML5. Experience in GPU programming (e.g., OpenCL, CUDA). Knowledge of AI and Machine Learning techniques. Expertise in graphics development (2D/3D) using technologies such as OpenGL, OpenGL Shaders, VTK, OSG, or Vulkan. Why apply for More ❯

in C++ (and ideally C or Fortran). - Further experience with C# (including WinForms, WPF, QML Frameworks) would be desirable. - Strong numeracy and understanding of mathematical modelling. - Experience with CUDA, multithreading, AI/ML would be advantageous. - Any exposure to 3D/2D graphics development (OpenGL, Vulkan) would be beneficial. The company offers an excellent remunerations package including annual More ❯

in C++ (and ideally C or Fortran). Further experience with C# (including WinForms, WPF, QML Frameworks) would be desirable. Strong numeracy and understanding of mathematical modelling. Experience with CUDA, multithreading, AI/ML would be advantageous. Any exposure to 3D/2D graphics development (OpenGL, Vulkan) would be beneficial. The company offers an excellent remunerations package including annual More ❯

Qt, QML); 3D graphics toolkits (OpenGL, Vulkan or shaders); CI experience (CMake, JIRA, Git, Jenkins); GIS development tools (GDAL API, MapBox API); multithreading/parallel computing (GPU programming or CUDA); MATLAB/Python scripting for mathematical/geology problems would be advantageous. Due to specific requirements, applicants without the relevant project experiences will not be considered (similarly exposure to More ❯

Qt, QML); 3D graphics toolkits (OpenGL, Vulkan or shaders); CI experience (CMake, JIRA, Git, Jenkins); GIS development tools (GDAL API, MapBox API); multithreading/parallel computing (GPU programming or CUDA); MATLAB/Python scripting for mathematical/geology problems would be advantageous. Due to specific requirements, applicants without the relevant project experiences will not be considered (similarly exposure to More ❯

JIRA, Git, Jenkins, JAVA, bash, batch files, TestRail. • 2D and 3D Geometrical modelling experience; Geometrical APIs or toolkits including CGAL. • Multithreading and parallel programming experience; OpenMP; GPU programming using CUDA or OpenCL. • Scripting of mathematical or geological problems; Excel, MATLAB, Python. Knowledge of any/several of the following will be ideal: • Seismic processing and attribute analysis. • Modelling of More ❯

Qt, QML); 3D graphics toolkits (OpenGL, Vulkan or shaders); CI experience (CMake, JIRA, Git, Jenkins); GIS development tools (GDAL API, MapBox API); multithreading/parallel computing (GPU programming or CUDA); MATLAB/Python scripting for mathematical/geology problems would be advantageous. Due to specific requirements, applicants without the relevant project experiences will not be considered (similarly exposure to More ❯

EXPERIENCE BEng or BSc Degree in Engineering, Computer Science or Electronics; or equivalent experience. 5+ years of relevant experience. Solid practical experience of: Languages: Python, C/C++, OpenCL, CUDA ML Frameworks: TensorFlow, PyTorch, Caffe2, ONNX, OpenVx Linux Environment Task and Data parallel/concurrent systems AI Network optimisations: quantization, compression (pruning etc.) Experience developing and delivering on projects More ❯

tools (e.g. OpenMC, MCNP, Fluka, Geant4) - Multi-physics modelling software (e.g. MOOSE, OpenFOAM) - High-performance computing systems; Debugging and profiling tools; Parallel/GPU programming techniques (e.g. MPI, OpenMP, CUDA, HIP, Kokkos, Sycl) - Proven ability to disseminate research via presentations or publications, with familiarity in modern software engineering practices. Additional Information For a full list of benefits and to More ❯

and Qualifications Required Skills: Bachelor's or higher degree in Computer Science/Engineering or related disciplines. Professional software development experience with modern C++. Experience with GPU compute in CUDA/OpenCL. Knowledge of linear algebra equivalent to at least first-year university level. Strong computer science and engineering fundamentals (e.g., OS, Compiler). Familiarity with software engineering practices More ❯

and Qualifications Required Skills Bachelor's or higher degree in Computer Science/Engineering or related disciplines Professional software development experience with modern C++ Experience with GPU compute in CUDA/OpenCL Knowledge of linear algebra equivalent to at least first-year university level Strong computer science and engineering fundamentals (e.g., OS, Compiler) Familiarity with software engineering practices and More ❯

developing games using Unity, Unreal, Godot or similar engines Understanding of different computer graphics techniques and understand the associated tradeoffs Exposure to ML/AI Experience with OpenCL/Cuda style compute solutions Experience working cross site Do you think you could contribute to our team? Even if you don't meet all these requirements we would love to More ❯

written and verbal communication skills, work well within a multinational team and with multinational customers. Excellent cultural awareness is essential. Experience developing firmware or drivers for GPUs. Knowledge of CUDA or OpenCL Experience working on upstreaming of kernel code/contributing to Linux kernel. Exposure to integration with data centre/cloud service operations - for example integration with Kubernetes More ❯

scaling and optimising ML models, training and serving foundation models at scale (federated learning a bonus); distributed computing frameworks (e.g., Spark, Dask) and high-performance computing frameworks (MPI, OpenMP, CUDA, Triton); cloud computing (on hyper-scaler platforms, e.g., AWS, Azure, GCP); building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch More ❯

/Digital Twins. Proficiency in deploying AI models and optimizing inference using TensorRT, ONNX Runtime, Triton, or TensorRT-LLM is a plus. Proven experience implementing and optimizing workloads with CUDA and Nsight Tools. Experience with high performance networking technologies, e.g. DPDK, DOCA, RMDA, RoCEv2 is a plus. Published record of thought leadership in a technical area or industry segment. More ❯

Experience: Proficiency in C++ with 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 of parallel computing, vectorization, and More ❯

/OSU, TensorFlow, PyTorch, MLperf. 1+ years of experience of using parallel and/or accelerated applications using more than one of OneAPI, Intel Gaudi software suite, OpenMP, MPI, CUDA, ROCm, OpenCL, SYCL. We will also consider candidates who lack some of the requirements but can demonstrate ability to learn quickly. The following competencies are welcome: Experience of running … performance tests and benchmarking codes. Experience of using or developing parallel and/or accelerated applications using more than one of OpenMP, MPI, CUDA, ROCm, OpenCL, SYCL paradigms. Experience of production HPC environment: large-scale filesystems (ideally Storage Scale), batch scheduling (ideally SLURM) as well as common HPC SW and management tools. Experience with analysis and profiling tools for More ❯

Hands-on experience design low-latency, high-performance, real-time video or image processing software • Experience developing or implementing real-time image processing algorithms using hardware acceleration • Experience with CUDA or OpenCL • Experience with TensorRT, Triton, or equivalent AI acceleration/inferencing frameworks • Ability to write clear, maintainable and well-documented code • Capability to work independently, driving development from More ❯

development Experience with software development processes and tools such as Git source code control, profiler, and debugger Effective communication and problem-solving skills Experience with compute languages like HIP, CUDA, OpenCL is a plus ACADEMIC CREDENTIALS: Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent #LI-RA1 #LI-Remote Benefits offered are described More ❯

at a leading technology company. Strong expertise in algorithms, data structures, multivariate calculus, and linear algebra. Proficient in Python, TensorFlow, PyTorch, or similar languages and frameworks, with experience writing CUDA kernels and profiling GPU code a plus. Excellent communication skills, with the ability to work effectively in cross-functional teams and present complex ideas to both technical and non More ❯

and space. The Engineer is involved in the full software development life cycle. We are seeking experienced engineers to implement complex signal processing algorithms in C++ and/or CUDA or OpenCL, a background in digital communication theory and GPU Software development. Job Description: Duties/Responsibilities * Evaluates requirements, proposes solutions, explores design trades to support a design. * Designs More ❯

systems for GPU architectures (OpenXLA, MLIR, Triton, etc.). Expertise in tailoring algorithms and ML models to exploit GPU strengths and minimize weaknesses. Knowledge of low-level GPU programming (CUDA, OpenCL, etc.) and performance tuning techniques. Understanding of modern GPU architectures, memory hierarchies, and performance bottlenecks. Ability to develop and utilize sophisticated performance models and benchmarks to guide optimization More ❯

Experience designing and implementing novel AI architectures or algorithms in real-world products. Experience with low-level languages used for implementing high-performance ML code (C/C++, Rust, CUDA, etc.). Contributions to open-source AI projects or development of proprietary AI frameworks. Expertise in areas such as reinforcement learning, few-shot learning, meta-learning, Causal AI. Knowledge More ❯

and 3+ years of relevant work or research experience. Strong knowledge of C/C++, software design, programming techniques, and AI algorithms. Firsthand work experience with parallel programming, ideally CUDA C/C++. Strong communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills. Some travel is required for conferences and 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 ❯