26 to 44 of 44 CUDA Jobs in London

decoding, and transmission at scale (e.g. HLS, WebRTC, and FFMPEG). Accelerator experience. You've developed GPU kernels and/or ML compilers (e.g., CUDA, OpenCL, TensorRT Plugins, MLIR, TVM, etc). Real-time experience. You've optimized systems to meet strict utilization and latency requirements with tools such More ❯

C programming skills Familiar with one of more GPU architecture Understanding of compute library frameworks Knowledge of at least one GPU programming model (E.g., CUDA, OpenCL, HIP, SYCL) Full details are available. Please don't hesitate to get in touch with max@platform-recruitment.com to learn more. More ❯

C programming skills Familiar with one of more GPU architecture Understanding of compute library frameworks Knowledge of at least one GPU programming model (E.g., CUDA, OpenCL, HIP, SYCL) Full details are available. Please don't hesitate to get in touch with max@platform-recruitment.com to learn more. 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 ❯

to continuous skill development (Preferred) Knowledge of scheduling systems (eg. Slurm) and workload management in large HPC environments (Preferred) Experience optimizing GPU-accelerated workloads (CUDA, NCCL) (Bonus) Experience working within or supporting quantitative research teams QRT is an equal opportunity employer. We welcome diversity as essential to our success. More ❯

Flux, and similar architectures 🚀 Experience fine-tuning and optimising visual models 🚀 Hands-on experience with PyTorch, JAX, or TensorFlow 🚀 Proficiency in GPU inference optimisation (CUDA, BitsAndBytes, PEFT) 🚀 Experience deploying ML models using Kubernetes and/or Docker 🚀 Strong experience with Python and software engineering best practices 🚀 Experience integrating visual More ❯

Flux, and similar architectures 🚀 Experience fine-tuning and optimising visual models 🚀 Hands-on experience with PyTorch, JAX, or TensorFlow 🚀 Proficiency in GPU inference optimisation (CUDA, BitsAndBytes, PEFT) 🚀 Experience deploying ML models using Kubernetes and/or Docker 🚀 Strong experience with Python and software engineering best practices 🚀 Experience integrating visual More ❯

model optimization, inference engines, quantization methods, and related technologies. Requirements Proven professional experience optimizing neural network inference workloads. Strong expertise with TensorRT, Triton language, CUDA programming. Experience with neural network quantization techniques. Proficiency in Python and PyTorch. Deep understanding of GPU architectures and performance optimization. Excellent problem-solving skills More ❯

publicly available substitutes. Utmost integrity, confidentiality, and discretion in both internal and external interactions. What We Value Experience writing and optimizing compute kernels with CUDA or similar languages. History of developing creative approaches to drive high ML accuracy within an alloted computational budget. Competitive Compensation. We provide financial peace 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 ❯

Senior CFD Software Engineer London I'm currently supporting a Fortune 100 organisation and a global leader. In this role, you will design and enhance solver features for both CPU and GPU, as well as develop pre- and post-processing More ❯

Senior CFD Software Engineer London I'm currently supporting a Fortune 100 organisation and a global leader. In this role, you will design and enhance solver features for both CPU and GPU, as well as develop pre- and post-processing 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 ❯

Stack & Environment: Work across a modern tech landscape including: Linux, Windows, MacOS, Microsoft 365, Azure AD, Intune, Teams (incl. voice integration), NICE DCV, Slurm, CUDA, Jira Service Desk, Terraform, SiteGround, Confluence, and more 💡 What We’re Looking For: 2+ years of experience in IT support or service desk operations … across Windows, Linux, and MacOS Experience with Microsoft cloud environments and endpoint management Clear communicator with good documentation practices 💡 Bonus Points: Exposure to Slurm, CUDA, Infiniband, or NICE/Amazon DCV Experience with infrastructure automation or scripting (e.g. Terraform) Understanding of SSL management and monitoring tools like Site24x7 Familiarity More ❯

Stack & Environment: Work across a modern tech landscape including: Linux, Windows, MacOS, Microsoft 365, Azure AD, Intune, Teams (incl. voice integration), NICE DCV, Slurm, CUDA, Jira Service Desk, Terraform, SiteGround, Confluence, and more 💡 What We’re Looking For: 2+ years of experience in IT support or service desk operations … across Windows, Linux, and MacOS Experience with Microsoft cloud environments and endpoint management Clear communicator with good documentation practices 💡 Bonus Points: Exposure to Slurm, CUDA, Infiniband, or NICE/Amazon DCV Experience with infrastructure automation or scripting (e.g. Terraform) Understanding of SSL management and monitoring tools like Site24x7 Familiarity More ❯