26 to 43 of 43 OpenCL Jobs in London

fusion & numerical linear algebra Experience deploying SLAM in industrial or embedded environments 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 ❯

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 ❯

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 ❯

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 ❯

developing and deploying autonomous vehicle software on commercial automobiles, and/or knowledge of ASPICE, DriveOS, or AutoSAR. Proven experience in GPU programming and optimization, with proficiency in CUDA, OpenCL, or other GPU programming frameworks. Experience with QNX or similar real-time operating systems. A Master’s degree or greater in Computer Science, Electrical Engineering, or a related field. More ❯

end-to-end AI solutions at scale. 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. Experience with C++ and ML frameworks such as PyTorch. Familiarity More ❯

looking for the following skills and experience. Essential Proven experience as an Engineering Manager delivering complex engineering projects Experience developing GPU kernels and/or ML compilers (e.g. CUDA, OpenCL, TensorRT, MLIR, TVM, etc) Experience optimising systems to meet strict utilisation and latency requirements Excellent interpersonal and communication skills Desirable Experience with C++ and ML frameworks such as PyTorch More ❯

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 ❯

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 ❯

scale. Nice to Have: Sports 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 role and feel you fit More ❯

insights, that’s a plus. Deeper systems knowledge. Extra experience with any of the following would be an asset: developing GPU kernels and/or ML compilers (e.g. CUDA, OpenCL, TensorRT Plugins, MLIR, TVM, etc); optimizing systems to meet strict utilization and latency requirements with tools such as Nvidia NSight; and/or you’ve worked with embedded SoCs More ❯

insights, that's a plus. Deeper systems knowledge. Extra experience with any of the following would be an asset: developing GPU kernels and/or ML compilers (e.g. CUDA, OpenCL, TensorRT Plugins, MLIR, TVM, etc); optimizing systems to meet strict utilization and latency requirements with tools such as Nvidia NSight; and/or you've worked with embedded SoCs More ❯

We're looking for an experienced Computer Vision and Machine Learning Engineer to join an innovative project focused on AI-driven content reconstruction and creation. This is a great opportunity to work at the intersection of advanced computer vision, machine More ❯

innovation. You build strong partnerships 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. Strong mathematical and algorithmic background. Experience with digital video, micro-architecture specs, or performance analysis. Familiarity More ❯

design and architecture of GPU 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 the latest products and features More ❯

design and architecture of GPU 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 the latest products and features More ❯

Meta's AI Training and Inference Infrastructure is growing exponentially to support ever increasing uses cases of AI. We need to build and evolve our network infrastructure that connects myriads of training accelerators like GPUs together. In addition, we need More ❯

performance and efficiency of graphics 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 touch with (email address removed More ❯