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 the more »
solutions and working within CI/CD frameworks Experience with Linux systems and cloud infrastructure (AWS, Azure, etc.) Experience developing embedded ML applications (C++, CUDA, TensorRT) Language Skills: Good level of English, spoken and written Personal Skills: Capability to integrate in and work within a trans-European team Solid more »
e.g., PyTorch) and distributed training framework (e.g. Deepspeed) Experience in optimizing deep learning models for GPU acceleration. In-depth knowledge of GPU architectures and CUDA programming. Strong programming skills in languages like Python and C/C++. Familiarity with GPU cluster environments and GPU cloud services. Excellent problem-solving more »
skills Eager to learn new technologies, self-motivated, energetic approach Desired Experience working with Linux/UNIX, Windows, LTTng, Jenkins Experience with GPU technologies, CUDA Experience in Containerisation Experience with RF design Strong awareness of networking and Internet protocols, including TCP/IP, DNS, SMTP, HTTP and distributed networks more »
Strong expertise in algorithms, data structures, multivariate calculus, and linear algebra. Proficient in Python, TensorFlow, PyTorch, or similar languages and frameworks, with experience writing CUDA kernels and profiling GPU code a plus. Excellent communication skills, with the ability to work effectively in cross-functional teams and present complex ideas more »
Computer vision problems Good Python and deep learning experience Strong problem solving skills and a great communicator OpenCV, object tracking/detection, GPU/CUDA nice to have This is a fully remote role based in the UK, and no sponsorship can be provided. This is your chance to more »
Employment Type: Permanent
Salary: £60000 - £85000/annum Fully Remote, Training + more
Hatfield, Hertfordshire, South East, United Kingdom Hybrid / WFH Options
COMPUTACENTER (UK) LIMITED
Strong knowledge of AI, machine learning algorithms, and deep learning frameworks such as TensorFlow and Porch Proficient in programming with a focus on NVIDIACUDA, C++, Python, and relevant data processing frameworks Wider knowledge of high-performance architectural components such as Networking, storage, and compute across the Nvidia OEM more »
Great Hatfield, England, United Kingdom Hybrid / WFH Options
COMPUTACENTER (UK) LIMITED
Strong knowledge of AI, machine learning algorithms, and deep learning frameworks such as TensorFlow and Porch Proficient in programming with a focus on NVIDIACUDA, C++, Python, and relevant data processing frameworks Wider knowledge of high-performance architectural components such as Networking, storage, and compute across the Nvidia OEM more »
Cross-team Integration - works with development & senior management teams. Client Facing Role - Charismatic Python, JavaScript, C++ (Knowledge) Experience working with Pytorch, Tensorflow, Keras (Desirable) Cuda (Desirable) Previous Knowledge of Neural Networks (Desirable) Defence Industry Experience (Desirable) Bachelor's Degree (or higher degree) in Mathematics, Computer Science, Systems Engineering, or 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 more »
Linux kernel; - Be familiar with C or C++, and master at least one of other languages such as Python/golang/rust/cuda - Familiar with common data structure and algorithm, multithreading programming and multithreading program performance optimization; Preferred Qualifications: - Able to work in teams to complete the more »
TCP/UDP stacks and socket skills, Kernel Dev/Bypass tech, FPGA (and HDLs), CPU/GPU (with par. lang. such as MPI, CUDA, et al), would be considered an added bonus and utilised. COMP ( albeit there aren't fixed bands ) and WORK MODEL A Base comp can 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 »
Overview: As an Active Directory Federation Services Specialist, you will play a crucial role in the design, implementation, and maintenance of our clients' authentication and access control systems. You will work closely with our clients to understand their needs, assess more »
in-depth knowledge of TVM and IREE coupled with strong C, C++ and Python skills. Any exposure to neural network design, DSP algorithm development, CUDA, Vulkan, DirectX, LLVM or GCC would be beneficial too. This is an exciting opportunity to work at the leading edge of this exciting technology. more »
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 and strong more »
Wotton-Under-Edge, Gloucestershire, South West, United Kingdom Hybrid / WFH Options
Renishaw PLC
experience. Experience of developing C# components. Experience of developing WPF applications. Experience within an Agile development, using DevOps practices. Desirable requirements Experience with C++, Cuda, DirectX, MATLAB. Experience with MS Visual Studio, ReSharper, Azure DevOps. Person specification In this role, youll be enthusiastic about innovative software solutions to solve more »
working 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 more »
in geometric aspects of computer vision such as intrinsic/extrinsic calibration, triangulation, and multi-view geometry, applied in 3D scene reconstruction. Experience with CUDA development is a plus. Track record of effective contributions to complex software projects. In-depth knowledge and experience in Deep Learning and data-driven 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 »
development of GPU hardware, providing insights 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 … with container technologies (Docker, Kubernetes) Experience with Prometheus/Grafana for monitoring Knowledge of distributed resource scheduling systems Slurm (preferred), LSF, etc. Familiarity with CUDA and managing GPU-accelerated computing systems Basic knowledge of deep learning frameworks and algorithms Original Posting Date: 2024-01-19 While subject to change more »
development of GPU hardware, providing insights 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 … with container technologies (Docker, Kubernetes) Experience with Prometheus/Grafana for monitoring Knowledge of distributed resource scheduling systems Slurm (preferred), LSF, etc. Familiarity with CUDA and managing GPU-accelerated computing systems Basic knowledge of deep learning frameworks and algorithms Original Posting Date: 2024-01-19 While subject to change more »
development of GPU hardware, providing insights 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 … with container technologies (Docker, Kubernetes) Experience with Prometheus/Grafana for monitoring Knowledge of distributed resource scheduling systems Slurm (preferred), LSF, etc. Familiarity with CUDA and managing GPU-accelerated computing systems Basic knowledge of deep learning frameworks and algorithms Original Posting Date: 2024-01-19 While subject to change more »