of 5 years of experience in kernel development for NPUs, GPUs, or similar hardware accelerators from 3 ~ 5 years (ML, linear algebra) Proficiency in CUDA, OpenCL, or similar parallel programming languages Experience in SIMD/vector processing experience(RISC-V Vector) Strong software development skills using standard development tools more »
the NPU framework. What's required for a successful Senior Compute Library Engineer? Extensive experience in kernel development projects for GPUs Involvement in OpenCL, CUDA or similar parallel programming languages Understanding of ML frameworks - TensorFlow, PyTorch etc Strong C++ development skills Extensive experience with mentorship or leading a team more »
Godot or similar engines Understanding of different computer graphics techniques and understand the associated tradeoffs Exposure to ML/AI Experience with OpenCL/Cuda style compute solutions Android development experience Experience working cross site IN RETURN: We are a global, diverse organisation of dedicated, innovative, and highly capable more »
research, developing their code base and tackling optical challenges. What's required? Strong C/C++ and Python skills Experience with a variety of: CUDA, OpenGL, Vulkan, DirectX, Unity Cross platform development - Linux, Windows, Android Interest/experience with parallel computing Bonus - An interest in the AR/VR more »
into the NPU framework. What's required for a successful Compute Library Engineer? Extensive experience in kernel development projects for GPUs Involvement in OpenCL, CUDA or similar parallel programming languages Understanding of ML frameworks - TensorFlow, PyTorch etc Strong C++ development skills Ability to work independently in a fast-paced more »
research, developing their code base and tackling optical challenges. What's required? Strong C/C++ and Python skills Experience with a variety of: CUDA, OpenGL, Vulkan, DirectX, Unity Cross platform development - Linux, Windows, Android Interest/experience with parallel computing Bonus - An interest in the AR/VR more »
Cambridge, England, United Kingdom Hybrid / WFH Options
European Recruitment
relevant industry experience developing kernels for hardware accelerators. Strong knowledge of CPU, GPU, NPU, or VPU microarchitecture. Extensive experience in parallel programming in either CUDA or OpenCL. Strong software development skills (including strong skills in C/C++) and a basic understanding of ML frameworks. Strong expereince with SIMD … is highly advantageous. Keywords: Compute Library/CL/Parallel Programming/CUDA/OpenCL/Microarchitecture/Micro-architecture/Micro Architecture/Git/Jira/Machine Learning/ML/Tensorflow/Pytorch/C/C++/NPU/CPU/GPU/VPU If more »
CUDA/OpenCL Kernal Engineer Contract 6 month Initial Term - Outside IR35 - Hybrid (Cambridge) Role: As a CUDA/OpenCL Kernel Developer, you will play a critical role in designing, optimising, and implementing kernels for hardware accelerators such as GPUs. You will collaborate closely with hardware and software … teams to ensure that accelerators deliver optimal performance and efficiency across a wide range of applications. This role requires strong expertise in CUDA/OpenCL Kernel Development and a deep understanding of hardware architecture. Responsibilities: Design and develop high-performance CUDA kernels for neural network inference, training, or … other compute-intensive tasks. Optimise existing CUDA kernels to improve performance, reduce latency, and minimise power consumption What we need: Strong proficiency in CUDA, OpenCL programming and GPU architecture Strong experience in Kernal development for GPU's or similar Familiarity with machine learning frameworks such as TensorFlow, PyTorch more »
Senior Compute Library Engineer - Kernel/CUDA/OpenCL/GPU/NPU I am partnered with an incredibly exciting start up who work on AI Accelerators and RISC V technologies, who are looking to bring on a Compute Library Engineer to develop high-performance kernels for machine learning … applications A bit about you: 5+ years of experience in kernel development for GPUs or NPUs Good experience with parallel programming languages such as CUDA or OpenCL Strong software development skills Knowledge of ML frameworks Familiarity with hardware architecture and system level understanding of NPUs or GPUs By applying more »