76 to 100 of 128 CUDA Jobs in the UK

Agentic and Graph RAG techniques Experience building and scaling AI/ML workloadsusingdistributed 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 methodologiesacross quality, safety ...

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 ...

models and optimizing serving pipelines for ultra-low latency on modern GPUs. Ideal candidates combine PhD-level or equivalent practical expertise with strong C++, CUDA, and distributed systems experience, including Kubernetes and Ray, to scale high-performance inference at scale. #J-18808-Ljbffr ...

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 ...

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. ...

more important than writing kernels from scratchExcellent collaboration skills. Nice to have: Experience with general LLM serving stacks. Knowledge of XLA, Triton, Pallas, CUDA or similar accelerator DSLs/compilers. Experience with optimising ML accuracy using low-precision formats. Prior experience building, deploying and maintaining production systems on GCP.Interest ...

frameworks. You will meld GPU computing with networking, optimizing kernels for latency, throughput, and scalability across large AI systems. The role emphasizes in‐depth CUDA work, GPU architecture mastery, and collaboration with cross‐functional teams to push the boundaries of GPU‐driven networking. #J-18808-Ljbffr ...

teams across national and international sites to deliver scalable, high-throughput infrastructure. You will drive workload strategies with SLURM, Kubernetes for HPC, MPI/CUDA stacks, and ensure reproducibility and portability of workloads while partnering with MBDA vendors #J-18808-Ljbffr ...

week. Experience for the Senior GPU Software Engineer includes: 5+ years of software engineering experience with significant GPU or high-performance computing experience Strong CUDA and GPU programming experience Excellent C++ programming skills Strong understanding of CPU/GPU interaction and data movement #J-18808-Ljbffr ...

week. Experience for the Senior GPU Software Engineer includes: 5+ years of software engineering experience with significant GPU or high-performance computing experience Strong CUDA and GPU programming experience Excellent C++ programming skills Strong understanding of CPU/GPU interaction and data movement If you are a Senior ...

resources. Integrate ML models into production systems where latency matters. Work across a mix of programming languages: C/C++/Python/CUDA and other low-level GPU languages. Build large scale ML systems that are observable, performant, and flexible. Help improve productivity by reducing the iteration cycle … Proficiency in Pytorch, JAX, Tensorflow or other DL library. Ability to thrive in a collaborative, team-oriented environment Expertise in GPU or Accelerator programming (CUDA, Triton, SYCL, ROCm or equivalent) Experience building ML systems at large scale (hundreds of TBs of training data, low latency or high throughput inference ...

resources. Integrate ML models into production systems where latency matters. Work across a mix of programming languages: C/C++/Python/CUDA and other low-level GPU languages. Build large scale ML systems that are observable, performant, and flexible. Help improve productivity by reducing the iteration cycle … Proficiency in Pytorch, JAX, Tensorflow or other DL library. Ability to thrive in a collaborative, team-oriented environment Expertise in GPU or Accelerator programming (CUDA, Triton, SYCL, ROCm or equivalent) Experience building ML systems at large scale (hundreds of TBs of training data, low latency or high throughput inference ...

building on NVIDIA technologies, evaluating technical maturity and platform alignment. You will work with venture capital and NVIDIA teams to accelerate production adoption of CUDA libraries and SDKs, deliver technical workshops, and support startups across Europe. Travel to engage with startups and investors is expected. #J-18808-Ljbffr ...

GPUs. You will work with customers, architects, and engineering teams to ensure performance targets and successful deployments. The role requires deep knowledge of MPI, CUDA, GPU architectures (H100/H200), and Linux administration, with a focus on delivering practical optimisation recommendations and robust benchmark reports. #J-18808-Ljbffr ...

serving layer, guiding performance, reliability, and deployment across a growing cluster. You will define the serving strategy, design high-throughput workloads, and collaborate with CUDA/GPU teams to optimize throughput and cost per token while meeting ambitious uptime targets. #J-18808-Ljbffr ...

Inference Engineer to define and build how we serve AI workloads at scale, reporting to the CTO. You’ll own the layer above CUDA/GPU work, shaping inference delivery, throughput, and reliability as we scale data-centre compute for energy applications. With 4+ years in large-scale inference ...

Fuse Energy is seeking a seasoned CUDA performance engineer to design and optimise kernels for high-throughput workloads in a high-performance compute environment. You will profile GPU bottlenecks, build tooling to align power draw with energy pricing, and optimise multi-GPU scaling across NCCL/MPI. Collaboration with ...

across GPUs, CPUs, and accelerators to maximize training throughput and minimize latency. You will implement fused kernels, leverage tensor cores, and push Triton/CUDA capabilities, while collaborating on distributed multi-node deployment and performance instrumentation. #J-18808-Ljbffr ...