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 »
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
IC Resources
CUDA Kernel Developer £80,000 - £90,000 + bonus & hybrid working! I'm currently working with a Cambridge-based, multinational Semiconductor scale-up who are focused on developing AI accelerators. You will have the opportunity to work in a rapidly changing environment where your new ideas will become innovative … chance for an engineer to progress their career and achieve future aspirations. They provide a stable and supportive environment. They are looking for a CUDA Kernel Developer to develop and optimise high-performance kernels for ML operators on NPU architectures. They are looking for an exceptional engineer to join … applications. You will also collaborate with the hardware and software teams to integrate kernels into the NPU framework. What's required for a successful CUDA Kernel Developer? Extensive experience in kernel development projects for GPUs Involvement in OpenCL, CUDA or similar parallel programming languages Understanding of ML frameworks 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 »
