1 to 25 of 133 CUDA Jobs in England

Spark or similar is a plus. Model optimisation and research-to-prototype deployment fundamentals, including ONNX, TorchScript, FastAPI/gRPC and GPU acceleration, with CUDA basics desirable. Responsible AI and security awareness: explainability, privacy-preserving methods, bias assessment, safety, assurance, adversarial robustness and secure AI. Scientific and technical writing ...

communication skills. Desirable experience Vision Transformer architectures. Object detection, tracking, segmentation or pose estimation. Multi-object localisation or multi-modal perception systems. GPU optimisation, CUDA, inference acceleration or edge AI. Real-time computer vision systems. Docker, Kubernetes, Kubeflow or MLOps pipelines. Aerial, satellite or ISR imagery. Synthetic data generation ...

necessary Desirable Exposure to computational research involving GPU, including AI/ML methods applied to biomedical problems Experience supporting GPU‐accelerated workloads, NVIDIA tooling, CUDA‐aware environments, and/or AI/ML and bioinformatics workloads on shared compute platforms. Familiarity with bioinformatics or scientific workflow frameworks (e.g., Nextflow ...

into reliable software. Experience developing maintainable code using version control, testing and CI/CD. Strong analytical, problem-solving and communication skills. Desirable experience CUDA and GPU programming. Python and PyTorch. CNNs, Transformers or broader deep learning architectures. Synthetic training imagery and simulation environments. ISR imagery or defence-related ...

Neural Networks, and frameworks including PyTorch Practical programming experience in Python and familiarity with scientific computing environments; experience with R, C/C++, Fortran, CUDA, or Bash is preferred Ability to analyze, validate, and interpret large geospatial, hydrological, and climate datasets using statistical methods and visualization techniques Strong communication ...

related STEM discipline. Senior Software Engineer- DV Security Cleared- Desirable Technical Experience Experience with some of the following technologies would be highly beneficial: NVIDIA CUDA/GPU-accelerated computing Machine learning and data analytics NumPy/SciPy, PostgreSQL/SQLite, Docker/containerised environments Ansible, Cython, Celery/Redis ...

related STEM discipline. Senior Software Engineer- DV Security Cleared- Desirable Technical Experience Experience with some of the following technologies would be highly beneficial: NVIDIA CUDA/GPU-accelerated computing Machine learning and data analytics NumPy/SciPy, PostgreSQL/SQLite, Docker/containerised environments Ansible, Cython, Celery/Redis ...

share technical ideas clearly, support colleagues and work effectively across multidisciplinary teams. Experience with areas such as DDS and ROS2 communication, edge acceleration, CUDA, TensorRT, cloud‐connected robotics, telemetry or JavaScript-based integration would be valuable, but we don’t expect one person to bring experience in every area. ...

camera data processing. Experience with IMU/GNSS-aided sensor fusion. Experience with C++, C# or Python in engineering software. Familiarity with Linux, Docker, CUDA or GPU acceleration. Understanding of navigation, localisation or mapping products. Familiarity with React or web-based visualisation tools. Experience using AI coding assistants ...

kernel/network tuning, lock-free programming, hardware-aware optimization, or FPGA-adjacent systems. Experience with ML/data tooling such as PyTorch, JAX, CUDA, GPU clusters, Ray, Kafka, Kubernetes, Spark, or comparable technologies. Understanding of market microstructure, backtesting pitfalls, transaction costs, and the operational needs of live quantitative ...

newsletter mpi virtualisation beegfs cloudkitty sriov cluster training ciuk operations recruitment network overcloud slinky ceph data github ucx galaxy cloud-init storage gpu grafana cuda vm kata ci roce runc dnf StackHPC develops open source cloud infrastructure for research computing, HPC and AI. We are proud to work with ...

share technical ideas clearly, support colleagues and work effectively across multidisciplinary teams.* Experience with areas such as DDS and ROS2 communication, edge acceleration, CUDA, TensorRT, cloud-connected robotics, telemetry or JavaScript-based integration would be valuable, but we don't expect one person to bring experience in every area. ...

share technical ideas clearly, support colleagues and work effectively across multidisciplinary teams. Experience with areas such as DDS and ROS2 communication, edge acceleration, CUDA, TensorRT, cloud-connected robotics, telemetry or JavaScript-based integration would be valuable, but we don't'expect one person to bring experience in every area. ...

infrastructure. ORCA PT Series quantum systems are room temperature and rack-mounted which connect directly to GPU clusters via NVIDIA’s CUDA-Q platform, enabling accelerated AI workloads delivering advantages over traditional silicon-based systems. Backed by a strong portfolio of patent families spanning photonic integrated circuits, quantum memory ...

premise or HPC infrastructure Infrastructure automation/Infrastructure as Code Strong problem-solving ability Desirable: Kubernetes/Docker AWS, Azure or GCP GPU/CUDA Distributed systems High-performance computing Python, C++ or Go Machine learning infrastructure Financial experience is not required . Why HQL? Build infrastructure from first ...

effectively with trading researchers Reliable and predictable availability required Bonus Points Experience with HPC and distributed large model training Experience with GPU performance optimisation (CUDA or ROCm) Experience with end-to-end model development Strong opinions on best practices in ML research, tooling, and/or infrastructure INTERNATIONAL STUDENTS ...

/Git) Familiarity with development to design and coding standards. Good teamwork and communication abilities Useful to have Python, C#, LabVIEW software development Experience CUDA integration (AI/ML) Industrial protocols (read-across to Synergia etc.) Experience with Infrared Physics, Computer Science, Software Engineering, ITQSB or Relevant Higher Level ...

Kubernetes‐based clusters Building production systems with large language models Efficient computing based on low‐precision arithmetic. Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models. Familiarity with HPC systems and networking including Infiniband, NVLink, RoCE technologies. Have contributed to open‐source projects ...

Kubernetes‐based clusters Building production systems with large language models Efficient computing based on low‐precision arithmetic. Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models. Familiarity with HPC systems and networking including Infiniband, NVLink, RoCE technologies. Have contributed to open‐source projects ...

Kubernetes‐based clusters Building production systems with large language models Efficient computing based on low‐precision arithmetic. Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models. Familiarity with HPC systems and networking including Infiniband, NVLink, RoCE technologies. Have contributed to open‐source projects ...

drive research projects from idea generation through experimentation and publication. NICE TO HAVE Experience with classical reconstruction tooling (COLMAP or similar). C++ or CUDA experience, and a feel for performance and on-device constraints. Experience with traditional 3D techniques - meshing, texturing, or bringing modern geometry or generative representations ...

Kubernetes-based clusters Building production systems with large language models Efficient computing based on low-precision arithmetic. Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models. Experience in distributed training or inference of ML models across 64+ accelerators. Familiarity with HPC systems and networking ...

Kubernetes-based clusters Building production systems with large language models Efficient computing based on low-precision arithmetic. Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models. Experience in distributed training or inference of ML models across 64+ accelerators. Familiarity with HPC systems and networking ...

Practical MLOps: experiment tracking and model versioning with MLflow, hyperparameter optimisation, and reproducible, configuration-driven training runs. Containerisation and infrastructure as code: Docker and CUDA-based GPU images, plus enough Terraform to ship your own model to an environment through code review rather than a console. Strong software engineering ...

with engineering and R&D teams. Programming experience in C, C++, or Fortran, alongside strong Python skills. Experience with GPU programming technologies such as CUDA, OpenACC, or OpenMP Offload. Knowledge of parallel programming frameworks including MPI and OpenMP. Familiarity with build systems, scripting, and batch processing environments. Experience using ...