14 of 14 CUDA Jobs in the UK excluding London

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 Formal ...

compute workloads Infrastructure-as-code mindset: Terraform, Ansible, or equivalent; CI/CD pipelines (GitHub Actions, Jenkins, or similar) Experience with hardware-accelerated compute (CUDA/GPU workflows, profiling, performance tuning) — even if not on custom silicon Strong debugging and observability skills: distributed tracing, logging, metrics dashboards Ability ...

environments. Bonus Experience Any of the following would be advantageous: Quantitative finance Machine learning Scientific computing High-performance computing (HPC) Distributed systems GPU programming (CUDA) Optimisation Statistics Numerical methods Time-series modelling Cloud infrastructure Docker or Kubernetes Why This Role? This is an opportunity to work on problems that ...

including public code reviews, documentation, release notes, issue tracking, and community engagement. Vulkan or other low-level graphics and compute APIs, such as OpenCL, CUDA, DirectX, or Metal. Machine learning frameworks, inference runtimes, model formats, or model conversion tooling. CMake, cross-compilation, packaging, dependency management, or developer tooling. Performance ...

Strong Preference For Experience integrating accelerator hardware (GPUs, FPGAs, ASICs, NPUs, or novel architectures) into customer inference workflows Familiarity with the NVIDIA inference stack - CUDA, TensorRT, Triton Exposure to disaggregated inference architectures, prefill/decode separation, or KV cache management Compensation & Benefits Highly Competitive Salary: We are not saying ...

every box, but any exposure to the following would be valuable: High-Performance Computing/HPC C++ Python Rust Java or C# GPU programming CUDA or ROCm Parallel programming Distributed systems Cluster computing Job schedulers or batch-processing frameworks Linux Numerical computing Monte Carlo simulation Quantitative finance Trading technology ...

Experience with developing serving infrastructure. Experience programming hardware accelerators (GPUs, TPUs) via ML frameworks (e.g., JAX, PyTorch) or low-level programming models (e.g., Pallas, CUDA, OpenCL). Experience profiling software to identify performance bottlenecks. Experience with distributed ML systems optimization and parallelism (e.g., data, model, or pipeline parallelism). ...

model deployment Clear communication - writing specs, documenting APIs, presenting to customers Familiarity with circuit simulation or EDA tools (nice to have) C++/CUDA experience for performance‐critical components (nice to have) Startup or fast‐moving team experience Why consider it: Competitive salary, bonus, and meaningful equity Flexible remote ...

architectures and model optimisation Excellent software engineering and problem-solving abilities Experience working with complex datasets and real-world machine learning challenges Desirable Skills CUDA TensorRT Triton Quantised model training Edge AI deployment Computer Vision Robotics or autonomous systems Advanced C++ development Synthetic data generation What We're Looking ...

range of hardware from resource constrained embedded systems through to cloud computing is desirable. As is any knowledge of GPU programming languages and frameworks (CUDA, ROCm, etc). Your future colleagues will be similarly highly skilled, with experience across industry and the drive to innovate. You will find yourself ...

training (fine‐tuning, alignment, reward modelling). Publications at top‐tier AI conferences such as ICML, ICLR, NeurIPS, CVPR, etc. Experience using HPCs and CUDA for training large‐scale models. The ability to translate research into a product vision and carry it through to delivery. Nice to have Computer ...

. Nice to have:• Product experience in datacentre hardware, cloud infrastructure, HPC, AI platforms, or security/compliance products. • Familiarity with GPU ecosystem concepts (CUDA awareness, GPU memory constraints, interconnects, training vs. inference economics). • Understanding of private AI solution patterns and components (RAG, vector databases, model serving, evaluation ...

advancing AI and engineering best practices. Day-to-day tasking can include: Working on high-throughput vision systems on NVIDIA Jetson hardware, involving; CUDA/TensorRT acceleration Multi-modal (thermal + optical) sensors Robust real-time tracking Exploring AI Assurance and AI Safety Delivering technical expertise on a variety … Skills: We are interested in the following skills, but they are not essential for you to apply: Knowledge of C++, Python, PyTorch, OpenCV, CUDA, TensorRT, Git, WSL, Docker, Jira/Confluence Machine Learning and Deep Learning Computer Vision methodologies and algorithms MLOps Developing AI for use on Edge Computers ...

events and structural loading. Work with methods including CFD, finite element and/or meshless approaches. Develop high-performance implementations using technologies such as CUDA, OpenMP and MPI. Write maintainable scientific software in languages such as C++, Fortran and Python. Verify and validate new numerical methods against analytical, experimental … understand the underlying physics. Comfortable working independently on technically challenging problems. Desirable experience Experience in any of the following would be particularly useful: CUDA or GPU computing. OpenMP or MPI. Computational fluid dynamics. Finite element analysis. Meshless numerical methods. Compressible flow, shock physics or explosion modelling. Python or MATLAB ...