and organisational skills Additional skills in any of the following also beneficial C#, WinForms, WPF, Qt/QML framework, HTML5, experience with algorithmic problems (OpenCL, CUDA), Machine learning and AI, OpenGL, OpenGL Shaders, VTK, OSG, Vulkan, JIRA, TestRail, TFS, Git, Jenkins, csh/bash, batch files, cmake, PowerShell. About more »
Experience of some of the following would benefit your application: GUI development, C#, WinForms or WPF Qt/QML, or HTML5 GPU development programming (OpenCL or CUDA) 2D/3D graphics development; OpenGL, OpenGL Shaders, VTK, OSG, Vulkan Machine learning CI experience; JIRA, TestRail, TFS, Git, Jenkins, csh/ more »
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 (e.g., Git more »
graphics algorithms or shader program design and optimization Experience with any of the following technologies: Vulkan, OpenGLES, Metal, DirectX11 or 12 and/or OpenCL Very good communication skills in English, written and spokenOur client is looking for the best engineers and will pay the best salaries to match. more »
algorithms, and object-oriented programming. Exposure to Embedded systems and Real-time operating systems. Desirable Skills: Proficiency in OpenGL ES, Vulkan, DX11, DX12, or OpenCL APIs. Familiarity with ARM architecture. Experience with Git or other SCM tools. What’s Next? If you are a GPU Software Engineer who would more »
for staying up to date on the latest advancements in AI technology Programming experience in a relevant area such as Python, C/C++, OpenCL, CUDA Experience using a high-level ML framework such as PyTorch or TensorFlow Solid understanding of embedded systems and practical experience with embedded hardware more »
part in the development and performance improvements for one of the leading software companies globally. You will be supporting Graphics and Compute APIs (DirectX, OpenCL, Vulkan) and work on improving the GPU technologies that the mobile and automotive markets will build upon for the future. If you hold experience more »
Cambridge, England, United Kingdom Hybrid / WFH Options
European Recruitment
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/ more »
embedded application development and optimisation. You will have a deep knowledge of Linux environments with a strong knowledge of multicore solutions paradigms (Pthread or OpenCL/Cuda) ideally with knowledge of computer vision libraries (OpenCV, OpenVX) and machine learning technology (TensorFlow, Caffe). The role requires interaction with clients more »
kernels 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 more »
into 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 more »
and English. Ability to travel up to 30% of the time (mainly in France). Experience with multicore solutions paradigms (Pthread and/or OpenCL/Cuda). Previous experience in a customer-facing role.Contact Laura @ IC Resources for more info more »
model, required onsite 2-3 days a week. Experience for the Compute Library Engineer will include: Programming with C++ High performance computing experience (CUDA, OpenCL, OpenMP, MPI) Optimisation of compute libraries (Intel VTune, NVIDIA Nsight, Perf) Understanding of computer architecture at system levelIf you are a Compute Library Engineer more »
located across Europe with the main R&D HQ based in the UK. The company support Graphics (OpenGL/ES, Vulkan, DirectX) and Compute (OpenCL, ML) APIs and work on improving GPU technologies that the mobile market will see in years to come. If you are interested to lead … OpenSource/Linux/C/C++/Hardware/debuggers/Machine Learning/MLIR/OpenGL/Vulkan/Direct X/OpenCL By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more more »
into hardware architecture to ensure efficient interaction with software components. Maintain and update hardware designs as needed. 4. CUDA (Compute Unified Device Architecture)/OpenCL (Open Computing Language) Programming: Develop and optimize applications using CUDA or OpenCL, harnessing the full potential of GPU hardware for parallel processing, high more »
into hardware architecture to ensure efficient interaction with software components. Maintain and update hardware designs as needed. 4. CUDA (Compute Unified Device Architecture)/OpenCL (Open Computing Language) Programming: Develop and optimize applications using CUDA or OpenCL, harnessing the full potential of GPU hardware for parallel processing, high more »
into hardware architecture to ensure efficient interaction with software components. Maintain and update hardware designs as needed. 4. CUDA (Compute Unified Device Architecture)/OpenCL (Open Computing Language) Programming: Develop and optimize applications using CUDA or OpenCL, harnessing the full potential of GPU hardware for parallel processing, high more »
into hardware architecture to ensure efficient interaction with software components. Maintain and update hardware designs as needed. 4. CUDA (Compute Unified Device Architecture)/OpenCL (Open Computing Language) Programming: Develop and optimize applications using CUDA or OpenCL, harnessing the full potential of GPU hardware for parallel processing, high more »
into hardware architecture to ensure efficient interaction with software components. Maintain and update hardware designs as needed. 4. CUDA (Compute Unified Device Architecture)/OpenCL (Open Computing Language) Programming: Develop and optimize applications using CUDA or OpenCL, harnessing the full potential of GPU hardware for parallel processing, high more »
into hardware architecture to ensure efficient interaction with software components. Maintain and update hardware designs as needed. 4. CUDA (Compute Unified Device Architecture)/OpenCL (Open Computing Language) Programming: Develop and optimize applications using CUDA or OpenCL, harnessing the full potential of GPU hardware for parallel processing, high more »
into hardware architecture to ensure efficient interaction with software components. Maintain and update hardware designs as needed. 4. CUDA (Compute Unified Device Architecture)/OpenCL (Open Computing Language) Programming: Develop and optimize applications using CUDA or OpenCL, harnessing the full potential of GPU hardware for parallel processing, high more »
into hardware architecture to ensure efficient interaction with software components. Maintain and update hardware designs as needed. 4. CUDA (Compute Unified Device Architecture)/OpenCL (Open Computing Language) Programming: Develop and optimize applications using CUDA or OpenCL, harnessing the full potential of GPU hardware for parallel processing, high more »
into hardware architecture to ensure efficient interaction with software components. Maintain and update hardware designs as needed. 4. CUDA (Compute Unified Device Architecture)/OpenCL (Open Computing Language) Programming: Develop and optimize applications using CUDA or OpenCL, harnessing the full potential of GPU hardware for parallel processing, high more »
into hardware architecture to ensure efficient interaction with software components. Maintain and update hardware designs as needed. 4. CUDA (Compute Unified Device Architecture)/OpenCL (Open Computing Language) Programming: Develop and optimize applications using CUDA or OpenCL, harnessing the full potential of GPU hardware for parallel processing, high more »
We are working with one of the upcoming brands in Graphics/GPU development who are looking to add to their team in Central London! Job Description: 1.Designing and developing GPGPU software stack, including Runtime and Driver. 2.Implementing new GPGPU more »
