20 of 20 OpenCL Jobs in the City of London

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 More ❯

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 More ❯

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 More ❯

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 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

usage across a variety of hardware and OS environments What they’re looking for Solid experience with low-level GPU programming using CUDA, Vulkan, OpenCL, Metal or similar Strong C or C++ skills and a background in systems or performance engineering Deep understanding of how modern GPUs work, including More ❯

usage across a variety of hardware and OS environments What they’re looking for Solid experience with low-level GPU programming using CUDA, Vulkan, OpenCL, Metal or similar Strong C or C++ skills and a background in systems or performance engineering Deep understanding of how modern GPUs work, including 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯