51 to 75 of 104 CUDA Jobs in London

training libraries, or custom kernels/fused ops. Experience with multi-node cluster orchestration (Slurm, Ray, Kubernetes, or similar).Comfort debugging performance issues across CUDA/NCCL, networking, IO, and data pipelines. Experience working with containerized environments (Docker, Singularity/Apptainer).A track record of building tools that increase ...

into existing AI and HPC infrastructure. Its current PT-2 system, a rack-mounted quantum computer, connects directly to GPU clusters via NVIDIA’s CUDA-Q platform, enabling accelerated AI workloads with significantly lower energy consumption than traditional silicon-based systems. Backed by a strong portfolio of patent families ...

apply advanced techniques, optimize training pipelines on HPC clusters, and integrate ML models into latency-sensitive production environments, using C/C++, Python, and CUDA across large-scale systems. #J-18808-Ljbffr ...

systems for quantitative finance. You will optimize training pipelines, deploy models to low-latency production environments, and work across C/C++, Python, CUDA, and related GPU technologies. Join a fast-paced, collaborative team focused on impactful projects that push the boundaries of AI research and its applications ...

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 ...

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 ...

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 ...

these — as long as you're open to learning, please apply. Backend: Python Frontend: TypeScript and React Deployment: Kubernetes Infrastructure: GCP Machine learning: PyTorch, CUDA, Ray Why Encord Competitive salary, commission, and meaningful equity in a high-growth startup Strong in-person culture — most of the team works from ...

evolve the compute stack. The role shapes platform evolution and enables researchers to push the boundaries of machine learning. You will work with Python, CUDA, Kubernetes, and deep learning frameworks like PyTorch, applying #J-18808-Ljbffr ...

front and centre. Strong candidates may also have Experience with a systems programming language like Rust or C++. Experience with writing and profiling CUDA kernels. A track record of building reliable research tools. Why this is interesting You’ll shape the core technical foundation of a frontier ...

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 ...

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 ...

systems on multi-node GPU clusters. You will push wall-clock time to convergence by profiling, refining data pipelines, and low-level kernels in CUDA/CuDNN/Triton. You will build scalable PyTorch-based workflows, balance CPU/GPU workloads, and develop monitoring tools to diagnose performance regressions ...

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. ...

SDKs, APIs, or platforms that other engineers depend on. Experience developing for inference hardware and/or GPUs (e.g. one year or more using CUDA or ROCm). A good understanding of modern ML workloads and the practical challenges of deploying large language models to production. An instinct ...

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 ...

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 ...

expertise in rigid body simulation and FEM Insights and requests from a robotic researcher/engineer’s perspective for improving user experience Proficiency in CUDA and GPU programming Bonus Points Built closed-loop or log-replay evaluation at scale. Experience with robotics simulation tools such as genesis-world, Isaac ...

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 ...

Senior HPC Engineer Please read the advert below carefully, and if you are a good match I want to speak to you ASAP. Please call or email Lorenz Pasch at Hays Recruitment - my contact details ...

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 ...