16 of 16 Permanent OpenCL Jobs in Berkshire

/Compilation/LLVM/GCC/OpenSource/Linux/C/C++/Low level/Hardware/debuggers/Fortran/OpenCL/CUDA/MLIR/Machine Learning/GPU/GPGPU By applying to this role you understand that we may collect your personal More ❯

/Compilation/LLVM/GCC/OpenSource/Linux/C/C++/Low level/Hardware/debuggers/Fortran/OpenCL/CUDA/MLIR/Machine Learning/GPU/GPGPU By applying to this role you understand that we may collect your personal More ❯

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 More ❯

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 copy More ❯

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++ and More ❯

and compute workloads on cutting-edge GPU architectures. About you: 6 years+ as a driver engineer Strong C++ or C programming skills Experience with OpenCL or Vulkan (other graphics APIs are also fine) Strong knowledge of GPU development Full details are available. Please don't hesitate to get in More ❯

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 this More ❯

/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, Qualcomm More ❯

and deliver high-quality results. Required Skills Experience in GPU architecture or complex system design. Knowledge of 3D graphics/compute APIs (Vulkan, D3D12, OpenCL). Understanding of ASIC design methodologies. Ability to define and drive architectural explorations. Desirable Skills Strong mathematical and algorithmic background. Experience with digital video More ❯

and deliver high-quality results. Required Skills Experience in GPU architecture or complex system design. Knowledge of 3D graphics/compute APIs (Vulkan, D3D12, OpenCL). Understanding of ASIC design methodologies. Ability to define and drive architectural explorations. Desirable Skills Strong mathematical and algorithmic background. Experience with digital video More ❯

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 More ❯

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 More ❯

documentation and feature descriptions for GPU projects. Requirements: Strong C/C++ competency Competent with LLVM, knowledge of MLIR Understanding of GPGPU API; CUDA, OpenCL or SYCL. Deep understanding of GPU architecture, data structures and algorithms 3+ years experience of ASIC design, verification, validation and integration If this role More ❯

documentation and feature descriptions for GPU projects. Requirements: Strong C/C++ competency Competent with LLVM, knowledge of MLIR Understanding of GPGPU API; CUDA, OpenCL or SYCL. Deep understanding of GPU architecture, data structures and algorithms 3+ years experience of ASIC design, verification, validation and integration If this role More ❯

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 … 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 More ❯

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 … 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 to this role More ❯