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6 of 6 OpenCL Jobs in the City of London
City of London, London, United Kingdom Hybrid / WFH Options Annapurna
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 ❯
City of London, London, United Kingdom Hybrid / WFH Options European Tech Recruit
experience in deploying SLAM solutions. 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 of your CV to nh More ❯
City of London, London, United Kingdom Hunter Bond
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 ❯
City of London, London, United Kingdom Hybrid / WFH Options European Tech Recruit
deploying SLAM in industrial or 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 they are successfully placed, we … offer a great referral scheme! Key words – Visual-inertial Odometry/SLAM/Computer Vision/Robotics/CUDA/Vulkan/ OpenCL/Metal/Sensor Fusion/Embedded Systems/Semantic Inference/Geometric Inference/C++/Spatial AI By applying to this role, you understand that we may collect your personal data & store & process it More ❯
City of London, London, United Kingdom Hybrid / WFH Options Annapurna
end AI solutions at scale. 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 ML frameworks such as PyTorch. More ❯
City of London, London, United Kingdom TechNET Immersive
teams Troubleshoot and optimise GPU 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 memory and compute models Experience More ❯
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