51 to 75 of 111 CUDA Jobs in England

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 ...

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 ...

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 ...

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. About the job Google ...

engineer in London. The role focuses on building financial-ML frameworks, training pipelines, and low-latency inference on large GPU systems using Python, C++, CUDA and modern ML libraries. The position emphasizes HPC training, observable systems, and production integration. International candidates are welcome; visa sponsorship is available. Strong English ...

systems, collaborating with software, product management and research teams. You will require BS+10y or MS+7y in CS/ML/Robotics, expert Python and CUDA/PyTorch skills, and a track record in computer vision and model fine-tuning. #J-18808-Ljbffr ...

optimize distributed training pipelines and systems on multi-node GPU clusters in London. You will profile bottlenecks, implement low-level kernels, and integrate CUDA/cuDNN/Triton into high-level frameworks to maximize throughput and utilization. The role requires deep expertise in distributed systems, Python, and PyTorch with ...

performance computing environments and infrastructure design Experience working with open-source technologies and software-defined data centres Knowledge of HPC software stacks including MPI, CUDA, compilers, and scientific libraries Familiarity with containerisation and reproducible workload environments Experience working within large, complex, or multi-national organisations Ability to influence technical ...

performance computing environments and infrastructure design Experience working with open-source technologies and software-defined data centres Knowledge of HPC software stacks including MPI, CUDA, compilers, and scientific libraries Familiarity with containerisation and reproducible workload environments Experience working within large, complex, or multi-national organisations Ability to influence technical ...

workload modellingIdentify and eliminate architectural bottlenecks Workload & Software Ecosystem Define strategies for workload orchestration (SLURM, Kubernetes for HPC, etc.) Guide software stack design (MPI, CUDA, compilers, libraries, containers) Ensure reproducibility, portability, and performance of workloads Our company: Peace is not a given, Freedom is not a given, Sovereignty ...

results in detail. You can work in Python and a systems language such as C++ or Rust. We use C++ mostly. You can write CUDA or HIP kernels, or you have strong low-level systems experience and can learn GPU programming. You understand transformer execution, including attention, memory movement ...

optimize the end-to-end ML stack: data pipelines, training loops, inference serving, and deployment. Design and implement GPU-accelerated components, including custom CUDA kernels where off-the-shelf libraries are not enough. Work closely with the founders to translate product requirements into concrete optimization goals and technical roadmaps. ...