5 of 5 Permanent OpenCL Jobs in Cambridgeshire

for GPU hardware, including scheduling and memory management for Linux and Android OSs. You will provide the foundations that will make the Mali GPU implementation of Vulkan, OpenGL and OpenCL simply the best in the market. Responsibilities: Participating in all phases of software development - including design, implementation, testing, code review and documentation. Leading software designs in coordination with Architects More ❯

for GPU hardware, including scheduling and memory management for Linux and Android OSs. You will provide the foundations that will make the Mali GPU implementation of Vulkan, OpenGL and OpenCL simply the best in the market. Your day-to-day responsibilities include: Being a member of GPU Linux Kernel team responsible for contributing and maintaining the upstream version of More ❯

GitHub, PyPI, Anaconda Cloud, and Docker Hub, as well as use of Pytorch lightning, Git, test-driven design. Knowledge of parallel computing technologies, such as NVIDIA's CUDA platform, OpenCL, and OpenMPI. The salary range for Cambridge, UK: - Senior Scientist I, Computational Biology: £75,000 - £117,500 Senior Scientist II, Computational Biology: £94,000 - £152,500 Exact compensation may More ❯

for GPU hardware, including scheduling and memory management for Linux and Android OSs. You will provide the foundations that will make the Mali GPU implementation of Vulkan, OpenGL and OpenCL simply the best in the market. Responsibilities: Participating in all phases of software development - including design, implementation, testing, code review and documentation. Leading software designs in coordination with Architects More ❯

host/accelerator integration (configuration and communication mechanisms, interrupts, memory management, memory coherency). Understanding of computer graphics techniques and APIs (e.g. OpenGL and Vulkan) or compute APIs (e.g. OpenCL). Understanding of HW and SW logging and tracing mechanisms and development of tools and methodologies for improving debug efficiency. Experience in SoC integration - l ow power techniques and More ❯