1 to 25 of 102 OpenCL Jobs in England

Fortran. 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 More ❯

Experience: Experience 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 More ❯

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 or open More ❯

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 HPC/ More ❯

AI Software Engineer (C GPGPU) – 6 Month Contract - Egham UK [United Kingdom] - Home Counties: South West Job Type: Permanent Job Description: AI Software Engineer (C GPGPU) – 6 Month Contract The ideal candidate will have experience and expertise in both GPU More ❯

AND 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 More ❯

SOFTWARE DEVELOPMENT ENGINEER WITH GEOSCIENCE FOCUS Company Information PE Limited is an industry leader in developing and delivering state of the art geoscience and engineering software products and superior technical support to a range of energy and subsurface industries. We More ❯

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: AMD More ❯

graphics API code. Experience analyzing GPU-accelerated applications like games, image processing or GPGPU applications. Experience writing or contributing to graphics drivers. Knowledge of the OpenGL ES, Vulkan, or OpenCL APIs. About The Job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our More ❯

for GPU hardware, including scheduling and memory management for Linux and Android OSs. You will provide the foundations that will make the Mali GPU implementation of Vulkan, OpenGL and OpenCL simply the best in the market. Responsibilities: Participating in all phases of software development - including design, implementation, testing, code review and documentation. Leading software designs in coordination with Architects More ❯

Strong software development skills, especially in C++. Excellent problem-solving skills. Basic understanding of numerical methods, probability, and quantitative finance. Preferred Qualifications Experience in parallel programming (TBB, OpenMP, CUDA, OpenCL). Skills in Python, Java, Perl, and web programming. Previous experience as a software developer or quant. About Us J.P. Morgan is a global leader in financial services, committed More ❯

finance to ensure that detailed model knowledge can be picked up if required Preferred qualifications, capabilities, and skills: You have experience in parallel programming, e.g. TBB, OpenMP, CUDA or OpenCL You demonstrate Python, Java, Perl and web programming skills You have previous work experience as a software developer or a quant #J-18808-Ljbffr More ❯

graphics API code. Experience analyzing GPU-accelerated applications like games, image processing or GPGPU applications. Experience writing or contributing to graphics drivers. Knowledge of the OpenGL ES, Vulkan, or OpenCL APIs. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our More ❯

thrive in ambiguity, and take full ownership of what you build. Key technical skills Strong back-end development experience (Python, Node.js ) Working knowledge of C++ and GPU computing (CUDA, OpenCL) Proven ability to design, build, and maintain robust APIs Proficiency with cloud platforms (e.g. AWS, GCP, or Azure), containerisation, and CI/CD pipelines Familiarity with scalable data delivery More ❯

thrive in ambiguity, and take full ownership of what you build. Key technical skills Strong back-end development experience (Python, Node.js ) Working knowledge of C++ and GPU computing (CUDA, OpenCL) Proven ability to design, build, and maintain robust APIs Proficiency with cloud platforms (e.g. AWS, GCP, or Azure), containerisation, and CI/CD pipelines Familiarity with scalable data delivery More ❯

thrive in ambiguity, and take full ownership of what you build. Key technical skills Strong back-end development experience (Python, Node.js) Working knowledge of C++ and GPU computing (CUDA, OpenCL) Proven ability to design, build, and maintain robust APIs Proficiency with cloud platforms (e.g. AWS, GCP, or Azure), containerisation, and CI/CD pipelines Familiarity with scalable data delivery More ❯

thrive in ambiguity, and take full ownership of what you build. Key technical skills Strong back-end development experience (Python, Node.js) Working knowledge of C++ and GPU computing (CUDA, OpenCL) Proven ability to design, build, and maintain robust APIs Proficiency with cloud platforms (e.g. AWS, GCP, or Azure), containerisation, and CI/CD pipelines Familiarity with scalable data delivery More ❯

thrive in ambiguity, and take full ownership of what you build. Key technical skills Strong back-end development experience (Python, Node.js) Working knowledge of C++ and GPU computing (CUDA, OpenCL) Proven ability to design, build, and maintain robust APIs Proficiency with cloud platforms (e.g. AWS, GCP, or Azure), containerisation, and CI/CD pipelines Familiarity with scalable data delivery More ❯

thrive in ambiguity, and take full ownership of what you build. Key technical skills Strong back-end development experience (Python, Node.js) Working knowledge of C++ and GPU computing (CUDA, OpenCL) Proven ability to design, build, and maintain robust APIs Proficiency with cloud platforms (e.g. AWS, GCP, or Azure), containerisation, and CI/CD pipelines Familiarity with scalable data delivery More ❯

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 multi More ❯

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 efforts More ❯

Social network you want to login/join with: Summary: Imagine what you could do here.At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and More ❯

for GPU hardware, including scheduling and memory management for Linux and Android OSs. You will provide the foundations that will make the Mali GPU implementation of Vulkan, OpenGL and OpenCL simply the best in the market. Responsibilities: Participating in all phases of software development - including design, implementation, testing, code review and documentation. Leading software designs in coordination with Architects More ❯

diverse vendor platforms. Working 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 profilers, identifying bottlenecks and implementing effective … systems. Essential Requirements: 3+ 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 tools and techniques for identifying and More ❯

diverse vendor platforms. Working 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 profilers, identifying bottlenecks and implementing effective … systems. Essential Requirements: 3+ 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 tools and techniques for identifying and More ❯