126 to 150 of 163 CUDA Jobs in the UK

and architecture of GPU IPs - Graphics Hardware Processors (5 - 10+ years' experience) Strong understanding of modern 3D graphics and/or compute APIs, such as Vulkan, D3D12 and OpenCL, CUDA etc. Definition of high-level GPU architecture/micro-architecture Confidence knowledge in the ASIC digital design flow Experience in R&D of the latest products and features Ability More ❯

and architecture of GPU IPs - Graphics Hardware Processors (5 - 10+ years' experience) Strong understanding of modern 3D graphics and/or compute APIs, such as Vulkan, D3D12 and OpenCL, CUDA etc. Definition of high-level GPU architecture/micro-architecture Confidence knowledge in the ASIC digital design flow Experience in R&D of the latest products and features Ability More ❯

details Demonstrate a proactive attitude 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 that can store and process More ❯

catastrophe modelling, actuarial science, quantitative finance, or data science. Statistical Modelling Expertise: Real-world commercial experience in statistical modelling and probability. Programming Skills: Proficiency in scientific Python (essential), Spark, CUDA, and SQL. Familiarity with Databricks is a plus! Problem Solver: Strong analytical skills with the ability to work independently and collaboratively. Communication Skills: Ability to present complex technical information More ❯

catastrophe modelling, actuarial science, quantitative finance, or data science. Statistical Modelling Expertise: Real-world commercial experience in statistical modelling and probability. Programming Skills: Proficiency in scientific Python (essential), Spark, CUDA, and SQL. Familiarity with Databricks is a plus! Problem Solver: Strong analytical skills with the ability to work independently and collaboratively. Communication Skills: Ability to present complex technical information More ❯

catastrophe modelling, actuarial science, quantitative finance, or data science. Statistical Modelling Expertise: Real-world commercial experience in statistical modelling and probability. Programming Skills: Proficiency in scientific Python (essential), Spark, CUDA, and SQL. Familiarity with Databricks is a plus! Problem Solver: Strong analytical skills with the ability to work independently and collaboratively. Communication Skills: Ability to present complex technical information More ❯

for generative tasks via an inference framework such as Ray or KServe (or similar) Production experience with running and tuning specialized hardware for Generative AI workloads, especially GPUs via CUDA Measured and articulate written and spoken communication skills. You work well with others and can craft concise and expressive thoughts into correspondence: emails, issues, investigations, documentation, onboarding materials, and More ❯

focus of this work is efficiency and run-time improvements of the simulations through the optimisation of GPU and CPU code. Responsibilities - Develop and optimise C/C++ and CUDA code to enhance the performance of the simulation engine - Manage the efficient utilisation of GPU and CPU resources through optimisation techniques - Implement robust memory management strategies to ensure optimal … development of technical reports and documentation - Collaborate with the team to integrate the simulation engine with various Matlab/Simulink models Required Skills and Qualifications C/C++ and CUDA programming Object-Oriented Programming GPU/CPU optimisation GPU/CPU Memory Management Technical report writing Location: Stevenage Clearance: Security Clearance - SC and UKEO (you MUST be a British More ❯

global trading operations. Engineer core platform components: memory allocators, kernel bypass, custom RPC, and distributed compute frameworks. Optimise performance at the hardware/software boundary, including GPU acceleration and CUDA-based compute. Work on Linux kernel internals, networking stacks, and system-level debugging. Technical Requirements: 3+ years of experience in C++ (C++17/20) with strong knowledge of memory … management, concurrency, and performance tuning. Experience with GPU programming (CUDA), SIMD, and kernel-level development. Deep understanding of data structures, lock-free algorithms, and low-latency systems. Familiarity with Linux internals, system calls, and performance profiling tools. Background in platform engineering, distributed systems, or high-performance computing. Preferred Background: Participation in competitive programming contests (IOI, ICPC, Codeforces, etc.). More ❯

global trading operations. Engineer core platform components: memory allocators, kernel bypass, custom RPC, and distributed compute frameworks. Optimise performance at the hardware/software boundary, including GPU acceleration and CUDA-based compute. Work on Linux kernel internals, networking stacks, and system-level debugging. Technical Requirements: 3+ years of experience in C++ (C++17/20) with strong knowledge of memory … management, concurrency, and performance tuning. Experience with GPU programming (CUDA), SIMD, and kernel-level development. Deep understanding of data structures, lock-free algorithms, and low-latency systems. Familiarity with Linux internals, system calls, and performance profiling tools. Background in platform engineering, distributed systems, or high-performance computing. Preferred Background: Participation in competitive programming contests (IOI, ICPC, Codeforces, etc.). More ❯

with MATLAB/Simulink models. The focus is on optimising GPU and CPU code to enhance simulation speed and runtime efficiency. Key Responsibilities: Proficient in C/C++ and CUDA for high-performance application development Strong foundation in Object-Oriented Programming principles and design Skilled in GPU/CPU performance tuning and optimisation techniques Experienced in managing memory across … GPU and CPU architectures Capable of producing clear, concise, and technically sound documentation What do you need?: Proficient in C/C++ and CUDA for high-performance application development Strong foundation in Object-Oriented Programming principles and design Skilled in GPU/CPU performance tuning and optimisation techniques Experienced in managing memory across GPU and CPU architectures Capable of More ❯

no checklist, but you’ll likely thrive in this role if you have: Technical Experience Strong engineering skills in Python, C++, or Rust Proven experience with GPU performance engineering: CUDA, PTX/SASS, Tensor Cores, memory hierarchy, warp-level primitives Familiarity with ML frameworks like PyTorch, and their internals Proficiency in profiling and debugging tools like NSight, CUDA More ❯

no checklist, but you’ll likely thrive in this role if you have: Technical Experience Strong engineering skills in Python, C++, or Rust Proven experience with GPU performance engineering: CUDA, PTX/SASS, Tensor Cores, memory hierarchy, warp-level primitives Familiarity with ML frameworks like PyTorch, and their internals Proficiency in profiling and debugging tools like NSight, CUDA More ❯

The focus of this work is efficiency and run-time improvements of the simulations through the optimisation of GPU and CPU code. Key Skillset Essential: C/C++ and CUDA programming Object-Oriented Programming GPU/CPU optimisation GPU/CPU Memory Management Technical report writing Desirable: Network Programming Configuration control and model release processes Continuous Integration and Testing More ❯

as-code mindset Hands-on experience resolving GPU workload issues across compute clusters and supporting technologies Familiarity with performance tooling and debugging in live production environments Practical experience with CUDA or systems-level programming in C/C++ Experience with config management frameworks like Salt, Ansible, or Puppet (Preferred) Experience with GPU communication and interconnect technologies (e.g. collective communication More ❯

as-code mindset Hands-on experience resolving GPU workload issues across compute clusters and supporting technologies Familiarity with performance tooling and debugging in live production environments Practical experience with CUDA or systems-level programming in C/C++ Experience with config management frameworks like Salt, Ansible, or Puppet (Preferred) Experience with GPU communication and interconnect technologies (e.g. collective communication More ❯

as-code mindset Hands-on experience resolving GPU workload issues across compute clusters and supporting technologies Familiarity with performance tooling and debugging in live production environments Practical experience with CUDA or systems-level programming in C/C++ Experience with config management frameworks like Salt, Ansible, or Puppet (Preferred) Experience with GPU communication and interconnect technologies (e.g. collective communication More ❯

Contribute to hiring additional talent 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 and previous experience managing applied More ❯

Software Engineer with graphics processing experience (GPU, CUDA) is re quired for a long term contract assignment based in Stevenage or Bristol - full time on site. Essential experience: C/C++ and CUDA programming Object-Oriented Programming GPU/CPU optimisation GPU/CPU Memory Management Technical report writing Desirable experience Network Programming Configuration control and model release More ❯

of model architectures like transformers and CNNs. Hands-on experience with model optimization (i.e. quantization, pruning) and model deployment frameworks such as TensorRT, ONNX Runtime, and OpenVINO. Proficiency with CUDA programming and optimizing code for GPU acceleration. Strong background in MLOps practices, including CI/CD using GitHub Actions and containerization with Docker. Excellent problem-solving skills and the More ❯

of model architectures like transformers and CNNs. Hands-on experience with model optimization (i.e. quantization, pruning) and model deployment frameworks such as TensorRT, ONNX Runtime, and OpenVINO. Proficiency with CUDA programming and optimizing code for GPU acceleration. Strong background in MLOps practices, including CI/CD using GitHub Actions and containerization with Docker. Excellent problem-solving skills and the More ❯

level position 5+ years' experience in software development. Good development skills in cloud visualization applications where knowledge is key. Computer Graphics WebGL OpenGL HTML5 MEAN stack. Java/C++ CUDA Augmented/Virtual Reality Game Engines Video streaming a plus. Please, get in touch to discuss and apply for this exciting role More ❯

using Docker and orchestrating them with Kubernetes for scalable model serving. Optimizing the performance of our Ultralytics YOLO11 models for various deployment targets, from high-performance cloud GPUs with CUDA to edge devices using frameworks like TensorRT and OpenVINO. Implementing robust systems for model monitoring and maintenance to track performance and detect data drift. Collaborating closely with our AI … experience with at least one major cloud provider ( GCP , Azure, AWS). Experience with Infrastructure as Code (IaC) tools such as Terraform or Ansible. Familiarity with GPU acceleration using CUDA and model optimization for inference. Knowledge of MLOps tools for experiment tracking, and model serving such as MLflow, Kubeflow, or Weights & Biases. Excellent problem-solving skills and the ability More ❯

using Docker and orchestrating them with Kubernetes for scalable model serving. Optimizing the performance of our Ultralytics YOLO11 models for various deployment targets, from high-performance cloud GPUs with CUDA to edge devices using frameworks like TensorRT and OpenVINO. Implementing robust systems for model monitoring and maintenance to track performance and detect data drift. Collaborating closely with our AI … experience with at least one major cloud provider ( GCP , Azure, AWS). Experience with Infrastructure as Code (IaC) tools such as Terraform or Ansible. Familiarity with GPU acceleration using CUDA and model optimization for inference. Knowledge of MLOps tools for experiment tracking, and model serving such as MLflow, Kubeflow, or Weights & Biases. Excellent problem-solving skills and the ability More ❯

models. Develop robust, fault-tolerant systems for data ingestion, processing, and model customisation. Optimise GPU utilisation and system performance using frameworks like DeepSpeed, Triton Inference Server, TensorRT, and custom CUDA/Rocm kernels. Conduct performance testing and resolve bottlenecks across training, fine-tuning, and inference workflows. Document and build tooling to ensure successful use of Nscale’s training, fine … of transformer architectures, LLMs, and multimodal generative models. Expertise in distributed training frameworks like DeepSpeed or Fully Sharded Data Parallel (FSDP). Experience with GPU programming and optimisation e.g CUDA, TensorRT, or ROCm. Knowledge of fine-tuning methods, such as LoRA, prefix-tuning, and adapter-based techniques, and experience improving model performance. Experience with containerised environments and Kubernetes for More ❯