76 to 94 of 94 CUDA Jobs in the UK

systems, storage, fabric, MLOps stack and managed services — to land service-led AI solutions. Lead integration of compute, storage, networking, the AI software stack (CUDA, ROCm, Triton, NIM, NVIDIA AI Enterprise, Run:ai, Slurm, Kubernetes/Kubeflow) and managed-service operating models across multiple domains, delivery units and geographies. …/NVSwitch fabrics, congestion control and fabric design for rail-optimised and fat-tree topologies. Working knowledge of the AI software and orchestration stack: CUDA, cuDNN, NCCL, ROCm, Triton Inference Server, NIM, vLLM, TensorRT-LLM, Slurm, Kubernetes (with GPU Operator), Kubeflow, Run:ai, MLflow and NVIDIA AI Enterprise. Familiarity ...

systems, storage, fabric, MLOps stack and managed services — to land service-led AI solutions. Lead integration of compute, storage, networking, the AI software stack (CUDA, ROCm, Triton, NIM, NVIDIA AI Enterprise, Run:ai, Slurm, Kubernetes/Kubeflow) and managed-service operating models across multiple domains, delivery units and geographies. …/NVSwitch fabrics, congestion control and fabric design for rail-optimised and fat-tree topologies. Working knowledge of the AI software and orchestration stack: CUDA, cuDNN, NCCL, ROCm, Triton Inference Server, NIM, vLLM, TensorRT-LLM, Slurm, Kubernetes (with GPU Operator), Kubeflow, Run:ai, MLflow and NVIDIA AI Enterprise. Familiarity ...

We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity.From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical ...

We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity. From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and ...

strategy, cloud accelerator economics, or GPU fleet cost management.Experience with distributed training frameworks such as DeepSpeed, Megatron-LM, FSDP, Ray, or equivalent systems.Experience debugging CUDA, NCCL, kernel, driver, runtime, memory, networking, or low-level performance issues.Experience with Rust, C++, Go, CUDA, or other systems languages used for performance ...

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 ...

This role is based in our London (Kings Cross) office. Responsibilities: Manage and mentor a team of software engineers working across embedded C++/CUDA, GUI, and embedded linux, setting priorities, individual development plans, conducting performance reviews, and maintaining a high standard of engineering practice Own the technical roadmap … product software stack, from the C++/CUDA host application and real-time processing pipeline, aligning with product and system requirements Lead design and architecture reviews across the software stack, ensuring quality, consistency, and sound technical decisions Drive software from prototype through to production release, managing dependencies with ...

engineers who have:A track record of working on model training or model inference at scale, or on low‐level GPU coding (e.g. CUDA, Triton). Experience with one is great, multiple is even better.What will I be doing As a Senior AI Infrastructure Engineer focused on model training … following:Model training (especially transformers and LLMs).Model inference at scale (again, especially transformers and LLMs).Low‐level GPU work, such as writing CUDA or Triton kernels.Comfortable working in production environments at meaningful scale (traffic, data, or organizational).You communicate clearly, can explain complex technical topics to different audiences ...

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 ...

experience in clinical data structures and programming with dataexpert in functional and object-oriented programming. Knowledgeable in Javascript/Typescript, HTML, WebGL, experience in CUDA/GPU-programing, cloud-computing, Github, web-hosting/Machine Learning. Strong communication skills and ability to work both, independently and collaboratively, clear … clinical data structures and programming with data -Expert in functional and object-oriented programming knowledgeable in Javascript/Typescript, HTML, WebGL -Experience in CUDA/GPU-programing, cloud-computing, Github, web-hosting -Strong communication skills and ability to work both, independently and collaboratively, clear in the presentation of complex ...

operate in significantly outpaces what we can currently build, meaning speed to power and reliability are critical to how we scale. This puts CUDA/GPU performance engineering at the center of how Fuse scales its compute infrastructure.ResponsibilitiesDesign, implement, and optimise CUDA kernels for high-throughput, latency-sensitive …/GPU baselines and drive continuous performance improvements.Contribute to internal libraries, documentation, and best practices for GPU performance engineering.Requirements4+ years of experience writing production CUDA code, or equivalent strong project/industry experience.Deep understanding of GPU architecture (SMs, warps, memory hierarchy, occupancy).Proficiency in C++ and CUDA; experience ...

impactful on the business, and it will be challenging: this is a field with no easy or obvious solutions.QualificationsStrong engineering skills, especially any of: CUDA/Triton/Pallas/CuTe DSL kernel development, lower-level PyTorch/JAX/XLA development, CUDA Graphs, FPGA/ASIC experienceMust ...

Member of Technical Staff, Compute Infrastructure — Inherent (London) At Inherent, we are on a mission to build AI that recursively self‐improves to discover new knowledge. Scientific advances are the backbone of our economic, technological ...

Jump Trading Group is seeking world-class engineers to collaborate with our research, trading and engineering teams to build state-of-the-art ML systems for quantitative finance. You will work on training pipelines, low ...

energy and AI - optimising how power-dense GPU workloads are scheduled, cooled, and balanced against grid conditions in real time.We're looking for a CUDA Engineer to write and optimise the low-level GPU code that powers our inference workloads. You'll design custom CUDA kernels, tune performance … operate in significantly outpaces what we can currently build, meaning speed to power and reliability are critical to how we scale. This puts CUDA/GPU performance engineering at the center of how Fuse scales its compute infrastructure.ResponsibilitiesWrite and optimise custom CUDA kernels for core transformer inference operations.Profile ...

optimising how power-dense GPU workloads are scheduled, cooled, and balanced against grid conditions in real time. We're looking for a CUDA Engineer to write and optimise the low-level GPU code that powers our inference workloads. You'll design custom CUDA kernels, tune performance across memory … operate in significantly outpaces what we can currently build, meaning speed to power and reliability are critical to how we scale. This puts CUDA/GPU performance engineering at the center of how Fuse scales its compute infrastructure. ResponsibilitiesWrite and optimise custom CUDA kernels for core transformer inference ...

demand, Fuse is expanding into high-performance compute infrastructure that sits at the intersection of energy and AI. We're building the GPU/CUDA performance layer and the inference serving layer at the same time, from scratch - and we're looking for the founding engineer … Founding AI Inference Engineer to define and build how Fuse serves AI inference workloads at scale, reporting directly to the CTO. Where our CUDA and GPU engineering hires own kernel-level and hardware performance, this role owns the layer above it: how models actually get served, scaled, and delivered ...

demand, Fuse is expanding into high-performance compute infrastructure that sits at the intersection of energy and AI. We're building the GPU/CUDA performance layer and the inference serving layer at the same time, from scratch -- and we're looking for the founding engineer … Founding AI Inference Engineer to define and build how Fuse serves AI inference workloads at scale, reporting directly to the CTO. Where our CUDA and GPU engineering hires own kernel-level and hardware performance, this role owns the layer above it: how models actually get served, scaled, and delivered ...

about efficient large-scale training, low-latency inference in real-time systems and high-throughput inference in research. Part of this is improving straightforward CUDA, but the interesting part needs a whole-systems approach, including storage systems, networking and host- and GPU-level considerations. Zooming in, we also want … level GPU knowledge of PTX, SASS, warps, cooperative groups, Tensor Cores and the memory hierarchy Debugging and optimisation experience using tools like CUDA GDB, NSight Systems, NSight Computesight-systems and nsight-compute Library knowledge of Triton, CUTLASS, CUB, Thrust, cuDNN and cuBLAS Intuition about the latency and throughput characteristics ...