14 of 14 OpenCL Jobs in the UK

dependency, including public code reviews, documentation, release notes, issue tracking, and community engagement. Vulkan or other low-level graphics and compute APIs, such as OpenCL, CUDA, DirectX, or Metal. Machine learning frameworks, inference runtimes, model formats, or model conversion tooling. CMake, cross-compilation, packaging, dependency management, or developer tooling. ...

memory, bandwidth, power/thermal, or cost). Strong proficiency with at least one relevant stack/toolchain (e.g. TensorRT, CUDA, Qualcomm QNN, Triton, OpenCL, MLIR, ONNX) and confidence learning adjacent frameworks quickly. Comfort operating at multiple levels of abstraction — from high-level model behaviour down to low-level ...

latency, memory, bandwidth, power/thermal, or cost).Strong proficiency with at least one relevant stack/toolchain (e.g. TensorRT, CUDA, Qualcomm QNN, Triton, OpenCL, MLIR, ONNX) and confidence learning adjacent frameworks quickly.Comfort operating at multiple levels of abstraction — from high-level model behaviour down to low-level kernel ...

with developing serving infrastructure. Experience programming hardware accelerators (GPUs, TPUs) via ML frameworks (e.g., JAX, PyTorch) or low-level programming models (e.g., Pallas, CUDA, OpenCL). Experience profiling software to identify performance bottlenecks. Experience with distributed ML systems optimization and parallelism (e.g., data, model, or pipeline parallelism). Familiarity ...

Experience with developing serving infrastructure.Experience programming hardware accelerators (GPUs, TPUs) via ML frameworks (e.g., JAX, PyTorch) or low-level programming models (e.g., Pallas, CUDA, OpenCL).Experience profiling software to identify performance bottlenecks.Experience with distributed ML systems optimization and parallelism (e.g., data, model, or pipeline parallelism).Familiarity with writing performance ...

with developing serving infrastructure. Experience programming hardware accelerators (GPUs, TPUs) via ML frameworks (e.g., JAX, PyTorch) or low-level programming models (e.g., Pallas, CUDA, OpenCL). Experience profiling software to identify performance bottlenecks. Experience with distributed ML systems optimization and parallelism (e.g., data, model, or pipeline parallelism). Familiarity ...

latency, memory, bandwidth, power/thermal, or cost).Strong proficiency with at least one relevant stack/toolchain (e.g. TensorRT, CUDA, Qualcomm QNN, Triton, OpenCL) and confidence learning adjacent frameworks quickly.Comfort operating at multiple levels of abstraction — from high-level model behaviour down to low-level kernel/runtime ...

with developing serving infrastructure. Experience programming hardware accelerators (GPUs, TPUs) via ML frameworks (e.g., JAX, PyTorch) or low-level programming models (e.g., Pallas, CUDA, OpenCL). Experience profiling software to identify performance bottlenecks. Experience with distributed ML systems optimization and parallelism (e.g., data, model, or pipeline parallelism). Familiarity ...

PyTorch (not just using high-level tooling).Strong proficiency with at least one relevant stack/toolchain (e.g. TensorRT, CUDA, Qualcomm QNN, Triton, OpenCL) and confidence learning adjacent frameworks quickly.Comfort operating at multiple levels of abstraction — from high-level model behaviour down to low-level kernel/runtime execution.Familiarity ...

PyTorch (not just using high‐level tooling). Strong proficiency with at least one relevant stack/toolchain (e.g. TensorRT, CUDA, Qualcomm QNN, Triton, OpenCL) and confidence learning adjacent frameworks quickly. Comfort operating at multiple levels of abstraction — from high-level model behaviour down to low-level kernel/ ...

appropriately to meet the requirements of the product.You have a strong programming ability: C, C++, scripting.Good knowledge of graphics and computer API’s (OpenGL, OpenCL, DX, etc.).Excellent team working skills, self-motivated and results focused.'Nice to Haves' Skills and Experience:A repeated experience of driving architecture development ...

Developers MUST have: (the below also gives you an idea of stack)C++ 11Computer Science DegreeSingle Core and Distributed C++C++ Shared LibrariesVersion ControlIdeally OpenMP, OpenCL or TBBThe environment is that of Facebook or Google, relaxed open with time to think and make the right decisions. The atmosphere is calm ...

/experience on GPU/GPU pipeline and GPU architecture. Knowledge/experience on SIMD architecture. Knowledge/experience on D3D, Vulkan/OpenGL, OpenCL APIs. Knowledge/experience on leveraging AI in compiler/tool/optimization development. #J-18808-Ljbffr ...

/C++ and comfortable working close to hardware. You have deep expertise in one or more industry‐standard APIs such as Vulkan, DirectX 12, OpenCL, or OpenGL ES. You understand GPU internals at a deep level, including memory hierarchies, command submission, scheduling, synchronization, pipeline architecture, and performance bottlenecks. ...