26 to 43 of 43 CUDA Jobs in England

days a week in the Cambridge office. This role focuses on maintaining and optimising the Linux operating system, file systems, and software stack (Cuda, PyTorch, Python etc) for machine learning projects as well as setting up and configuring NVIDIA HGX servers (installing and updating software, managing user access, and More ❯

the boundaries of model performance. You'll also work on re-implementing models in an efficient manner by using PyTorch and underlying technologies like Cuda Kernels, Torch compilation techniques. This would include: Evaluating and optimising compute resource usage (e.g., Hopper GPUs) for cost and time efficiency at training and More ❯

Hands-on with monitoring tools like Prometheus and Grafana Nice to have: Experience building Developer Experience (DevX) tools and workflows Familiarity with GPU setups (CUDA, TensorFlow, etc.) Strong networking and network security knowledge Linux/Unix skills and shell scripting A degree in Computer Science or a related field More ❯

Hands-on with monitoring tools like Prometheus and Grafana Nice to have: Experience building Developer Experience (DevX) tools and workflows Familiarity with GPU setups (CUDA, TensorFlow, etc.) Strong networking and network security knowledge Linux/Unix skills and shell scripting A degree in Computer Science or a related field More ❯

ability to create parallelizable algorithm implementations for real-time video processing. Strong coding skills in C/C++. Desirable Skills and Abilities: Experience writing CUDA kernel code. Proficiency in optimizing algorithms for speed during both design and implementation stages. Familiarity with camera calibration and 3D reconstruction techniques. Strong presentation More ❯

and enthusiasm for exploring new methods and technologies Effectively manage multiple responsibilities and can adjust to shifting priorities. Responsibilities Design and develop Python and CUDA/HIP C++ code that enable distributed training of multimodal LLMs ingesting text, audio, images, or video data. Build and maintain cutting-edge infrastructure More ❯

the boundaries of model performance. You'll also work on re-implementing models in an efficient manner by using PyTorch and underlying technologies like Cuda Kernels, Torch compilation techniques. This would include: Evaluating and optimising compute resource usage (e.g., Hopper GPUs) for cost and time efficiency at training and More ❯

to our rapidly growing team The role will be exposed to a broad tech stack (e.g. ReactJS, Python, REST & GraphQL, OpenCV, PyTorch, GCP, AWS & CUDA, Kubernetes) and the cutting edge of computer vision and deep learning. Qualifications The right candidate will have a proven track record of relevant publications More ❯

frameworks, is highly desirable. Experience working with GPUs: Hands-on experience in configuring, managing, and optimising GPU resources for computational tasks, including familiarity with CUDA, TensorFlow, or similar frameworks, is a strong advantage. Deep understanding of networking, protocols and network-security concepts. Good familiarity with UNIX-like operating-systems More ❯

hands-on experience with real-time, low-latency ML pipelines in high-performance environments. They should possess strong engineering skills, including expertise in Python, CUDA, or C++. They should also have knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX. Additionally, the candidate should be proficient in More ❯

hands-on experience with real-time, low-latency ML pipelines in high-performance environments. They should possess strong engineering skills, including expertise in Python, CUDA, or C++. They should also have knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX. Additionally, the candidate should be proficient in More ❯

Expertise in Dealing with data. Knowledge of machine learning models and architectures, including supervised learning. Experience with GPU training and supporting libraries such as CUDA and PyTorch. Proficiency in the broader data science ecosystem, including pandas and numpy. Familiarity with Kafka data streaming and multiprocessing for deploying models. Strong More ❯

for QEMU and DynamoRIO (or x86 PIN). Experience in developing and using performance simulators like GEM5 (O3 model), Sniper or others Experience with CUDA or OpenCL programming is a plus More ❯

for QEMU and DynamoRIO (or x86 PIN). Experience in developing and using performance simulators like GEM5 (O3 model), Sniper or others Experience with CUDA or OpenCL programming is a plus More ❯

for QEMU and DynamoRIO (or x86 PIN). Experience in developing and using performance simulators like GEM5 (O3 model), Sniper or others Experience with CUDA or OpenCL programming is a plus More ❯

President in the Quantitative Research, Core Analytics Development team, you will focus on high-performance computing. Job responsibilities: Developing software libraries in C++/CUDA/Python that price derivatives and calculate risks. Focusing on efficient algorithms, vectorization, parallelization, compiler optimizations, architecture of cross-asset pricing engines, core library … and foundations of quantitative finance to facilitate detailed model understanding if required. Preferred qualifications, capabilities, and skills: Experience in parallel programming, e.g., TBB, OpenMP, CUDA, or OpenCL. Skills in Python, Java, Perl, and web programming. Previous experience as a software developer or a quant. About the Team J.P. Morgan More ❯

to hear from you.) 💡 The Stack & Environment: A diverse, modern environment spanning: Linux, Windows, MacOS, Microsoft 365, Azure AD, Intune, Teams, NICE DCV, Nvidia CUDA, Slurm, Jira Service Desk, Terraform, Azure Resource Manager 💡 What We’re Looking For: 2+ years of experience administering HPC infrastructure Hands-on experience with … Infiniband, Slurm, and GPU compute platforms (e.g. CUDA) Proficiency in systems administration and troubleshooting Strong documentation habits and a customer-focused mindset Experience with VDI solutions and monitoring tools 💡 Bonus Points: Familiarity with Jira Service Desk and Terraform scripting Exposure to SSL management, infrastructure-as-code, or cloud database More ❯

to hear from you.) 💡 The Stack & Environment: A diverse, modern environment spanning: Linux, Windows, MacOS, Microsoft 365, Azure AD, Intune, Teams, NICE DCV, Nvidia CUDA, Slurm, Jira Service Desk, Terraform, Azure Resource Manager 💡 What We’re Looking For: 2+ years of experience administering HPC infrastructure Hands-on experience with … Infiniband, Slurm, and GPU compute platforms (e.g. CUDA) Proficiency in systems administration and troubleshooting Strong documentation habits and a customer-focused mindset Experience with VDI solutions and monitoring tools 💡 Bonus Points: Familiarity with Jira Service Desk and Terraform scripting Exposure to SSL management, infrastructure-as-code, or cloud database More ❯