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: 2024-04-26 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: 2024-04-26 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: 2024-04-26 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: 2024-04-26 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: 2024-04-26 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: 2024-04-26 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: 2024-04-26 While subject to change 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 »
PLEASE NOTE, RIGHTS TO WORK IN BELGIUM ARE ESSENTIAL FOR THIS VACANCY An exciting opportunity for a CUDA Expert has arisen with a well-funded fabless semiconductor start up, developing holographic chip technology, based in Leuven. This is a great opportunity for a CUDA Expert to be part … of the core software team for holographic displays, focusing on CUDA programming to power state of the art algorithms for the generation of holograms with the latest hardware. You will commit to a hybrid working model. Experience of the CUDA Expert will include: BSc or MSc in Computer … Science Minimum 5 years of CUDA experience Good understanding of C++ Cross application development including Linux, Windows and Mac Fluent EnglishIf you are a CUDA Experience looking for an exciting new challenge within a company working on cutting edge technology, then please apply today to learn more. more »
on proficiency in C/C++. 3.Working experience in GPU or GPGPU UMD driver development. 4.Proficiency and working experience with GPGPU APIs such as CUDA/HIP/OpenCL. Preferred Qualifications: 5.Familiarity with CUDA or ROCm development and debugging. 6.Good understanding of GPU hardware/software architecture, including more »
Senior ML Engineer Engineer - £80-110k ***Python, C++, Machine Learning, LLM, HPC, GPU, CUDA*** Location: Hybrid/London Sector: AI Products & Solutions Please note - sponsorship is not available for this role. This is a leading AI product and solutions company who operate globally and work at the forefront … in scaling ML models, with a focus on performance, speed and optimisation. You would have experience working on HPC, GPU's and/or CUDA kernels across distributed systems. Ideally you have experience across Python, C/C++. Please send your CV to find out more. I look forward 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 »
