51 to 75 of 128 CUDA Jobs in the UK

throughput distributed systems Background in AI media generation (image, video, audio) Experience building internal ML tooling or developer-facing APIs Experience with kernels in CUDA/C++ We're a remote-first team that comes together in person twice a year to plan, collaborate, and celebrate wins. ...

through evaluation. Desirable Skills & Experience Experience training, fine-tuning or optimising foundation models. Experience with large-scale distributed training and experimentation. Experience with JAX, CUDA or other high-performance ML tooling. Publications at leading machine learning conferences or journals. Contributions to open-source machine learning or reinforcement learning projects. ...

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). ...

range widely, and include: Scientific tools Embedded C/C++ (typically owned by dedicated firmware engineers, but software engineers are welcome to learn!) Linux, CUDA, Server engineering for our AI safety, - security, and verification work Custom simulation software (usually python) Data analysis pipelines (python) What is it like ...

engineering problems. Please note that visa sponsorship is not available for this contractor role. Desired: Experience with GPU or NPU programming environments such as CUDA, ROCm, OpenCL or CANN/Ascend. Experience with AI frameworks or inference/serving systems such as PyTorch, vLLM, SGLang, ONNX Runtime, or similar ...

recruitment. Building engineering teams through hiring, onboarding, mentoring or capability development. Open-source development or large software projects with complex dependencies. Vulkan, OpenCL, CUDA, DirectX, Metal or similar graphics and compute APIs. Machine learning frameworks, inference runtimes or model tooling. CI/CD, CMake, cross-compilation, packaging or developer ...

time alerts. Experience with transformer-based and multimodal architectures, including vision-language models (VLM), vision-language-action models (VLA), or equivalent. Proficiency in C++, CUDA, distributed training, or performance optimization for production machine learning systems. This is a full-time role based in our office in London. At Wayve ...

recruitment. Building engineering teams through hiring, onboarding, mentoring or capability development. Open‐source development or large software projects with complex dependencies. Vulkan, OpenCL, CUDA, DirectX, Metal or similar graphics and compute APIs. Machine learning frameworks, inference runtimes or model tooling. CI/CD, CMake, cross‐compilation, packaging or developer ...

training and post-training (PPO, GRPO or similar) LLM agent systems and tool-driven automation Compilers or low-level performance kernels (LLVM/MLIR, CUDA/Triton, SIMD) Evidence of building a non-trivial system end-to-end, such as an open-source project, a simulator extension, a compiler ...

meetings and events. Resourceful, collaborative, and comfortable taking ownership in a high‐performance startup. Nice to have Deep knowledge of vendor SDKs such as CUDA, ROCm, Vela, or Vitis AI. Experience with edge CPUs, GPUs, and NPUs, including Jetson, Raspberry Pi, Snapdragon, or Arm platforms. Linux, Docker ...

with tight constraints (latency, memory, bandwidth, power/thermal, or cost). Strong proficiency with at least one relevant stack/toolchain (e.g. TensorRT, CUDA, Qualcomm QNN, Triton, OpenCL) and confidence learning adjacent frameworks quickly. Comfort operating at multiple levels of abstraction — from high‐level model behaviour down ...

deployments, monitoring and alerting stacks, and hardware acceptance and regression testing. Deep familiarity with the NVIDIA technology stack, including HGX platforms, NVLink/NVSwitch, CUDA-level debugging, and NCCL performance tuning. Strong leadership skills with the ability to set technical direction, solve complex problems, and guide engineering teams. Excellent ...

PyTorch, Triton, and advanced scheduling tools like Kubernetes or Ray. Ideal candidates bring 3+ years in AI infrastructure, strong Python skills, and hands-on CUDA/C++ experience, with a degree in CS/EE/Applied Math. #J-18808-Ljbffr ...

production. The role involves optimizing training pipelines on HPC clusters, integrating ML models where latency matters, and working with C/C++, Python, CUDA, and other low-level GPU languages in a #J-18808-Ljbffr ...

small, highly technical team. Experience that would stand out Game engines, graphics, rendering, CAD, computational geometry, simulation, robotics, or scientific software. GPU programming, CUDA, or other performance‐sensitive computing. Integrating components written in different languages. Taking research‐led software into production. A personal interest in hardware, engineering, or building ...

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 ...

compute helps customers train and run AI workloads. Familiarity with cloud platforms (AWS, GCP, Azure) and an interest in GPUs and AI workloads (CUDA, PyTorch, vLLM, ...). Proficiency in English Nice to have Some exposure to sales, customer‐facing, or support work (internships, part‐time roles, or study ...

makes them more productive. Helpful, but not required: Experience with GPU performance tooling (Nsight Systems/Compute, rocprof, Perfetto, or similar) or GPU programming (CUDA, ROCm). Knowledge of basic AI implementation and modeling techniques and familiarity with AI frameworks like PyTorch, JAX, or TensorFlow. Experience building tooling ...

Graph RAG techniques Experience building and scaling AI/ML workloads using distributed training/serving frameworks (e.g., Ray) and GPU acceleration (e.g., CUDA) environments. Proficiency with modern AI system architectures and patterns, including RAG, agentic RAG, and multi-agent systems. Familiarity with LLM evaluation methodologies across quality, safety ...

engineering Familiarity with tools like Apache Arrow, Parquet, DataFusion, Clickhouse, or DuckDB is a plus Understanding of cutting-edge ML infrastructure stack (e.g. PyTorch, CUDA) is also a plus Experience with Rust is a bonus Willingness to work in-person at our NYC or London office #J-18808-Ljbffr ...

years of experience working in frontier AI research labs on pre-training or post-training teams. Experience writing TPU/GPU kernels (e.g., JAX, CUDA) to optimize model performance and real-time inference. Experience designing, training, and scaling generative pixel or real-time video architectures. Track record of cross ...

years of experience working in frontier AI research labs on pre-training or post-training teams. Experience writing TPU/GPU kernels (e.g., JAX, CUDA) to optimize model performance and real-time inference. Experience designing, training, and scaling generative pixel or real-time video architectures. Track record of cross ...

years of experience working in frontier AI research labs on pre-training or post-training teams. Experience writing TPU/GPU kernels (e.g., JAX, CUDA) to optimize model performance and real-time inference. Experience designing, training, and scaling generative pixel or real-time video architectures. Track record of cross ...

plus; a strong background in mathematics is required. Alternatively, experience training models with strong math skills. Strong coding ability in Rust (preferred), CUDA, or C. Solid understanding of transformer architectures. A product mindset; you’ll build production‐ready products. Hybrid Remote with the London Office. What ...

performance computing (HPC).Experience in performance analysis and debugging, improving performance of single-node or multi-node (distributed) systems. Experience in GPU programming using CUDA or Triton kernels (or Palace/Mosaic kernels).Background in Compiler optimizations or related fields would also be beneficial. Google's software engineers develop ...