76 to 100 of 111 CUDA Jobs in England

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 ...

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 ...

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 ...

Proxima is seeking a Principal ML Performance Engineer to optimize training and inference for structural and generative models, with a focus on CUDA, Triton, and distributed training across large GPU clusters. You will profile bottlenecks, write efficient kernels, and drive multi-node scalability. As a senior leader, you will ...

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 ...

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 … 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 ...

engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL.### ### **Responsibilities:*** **New models support.** Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading … request scheduling and KV-cache management to support in API Gateway.* **GPU kernels migration to CuTe DSL.** Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow.* **Rust-native serving runtime.** Develop our internal ...

Full-time ML engineering role building financial-ML frameworks, HPC training pipelines, low-latency inference, and large-scale GPU systems with Python, C++, CUDA, and modern ML libraries. Build reusable frameworks for financial machine learning. Optimise training pipelines for high-performance computing. Integrate ML models into latency-sensitive production … systems. Build large-scale, observable ML systems. Work with C, C++, Python, CUDA, and other low-level GPU technologies. Python and/or C++. PyTorch, JAX, TensorFlow, or another deep-learning library. GPU programming with CUDA, Triton, SYCL, ROCm, or similar tools. Large-scale ML systems, including very ...

Profile and optimize training and inference for structural and generative models, including transformers, diffusion, and geometric deep learning Write and tune custom kernels (CUDA, Triton) and use compilers (torch.compile, TensorRT, XLA) when beneficial Scale distributed training across 32-64 nodes, employing FSDP, DeepSpeed, tensor and pipeline parallelism, and mixed … selecting infrastructure, influencing research teams, and mentoring engineers Deep knowledge of PyTorch internals with hands-on experience profiling and fixing real bottlenecks Experience with CUDA and Triton, skilled at reading Nsight output, and strong understanding of memory bandwidth and occupancy Experience with distributed training at multi-node scale Strong ...

About Huawei Research and Development UK Limited Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and operate in over ...

hack or compromise. Everything is Python-first and runs anywhere. Kernels are written once, and Quadrants, our in-house JIT compiler, lowers them to CUDA, AMD ROCm, Apple Metal, Vulkan, x86, and ARM64. A single laptop or a datacenter. Massively batched GPU simulation for learning at scale, and complex … cost. You will work closely with Quadrants. At ease debugging across the full platform matrix: Windows, Linux, and macOS, on x86 and arm64, over CUDA, AMD, and Apple Metal (and possibly Intel XPU via Vulkan soon) Open-source reflexes: triaging issues, reviewing external pull requests, communicating with a community. ...

scientific policy engagement, grant processes, or national/European research program structures. Experience with NVIDIA's stack for visual and multimodal AI, built on CUDA and CUDA-X, including Cosmos world foundation models, NeMo Framework and Megatron for multimodal model training, multimodal Nemotron methodology, Isaac robotics platform, NuRec ...

scientific policy engagement, grant processes, or national/European research program structures. Experience with NVIDIA's stack for visual and multimodal AI, built on CUDA and CUDA-X, including Cosmos world foundation models, NeMo Framework and Megatron for multimodal model training, multimodal Nemotron methodology, Isaac robotics platform, NuRec ...

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

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. Responsibilities Design, implement, and optimise CUDA kernels for high-throughput … baselines and drive continuous performance improvements. Contribute to internal libraries, documentation, and best practices for GPU performance engineering. 4+ 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 ...

leadership for software and multi-disciplinary engineering teams, drives innovation in products and services, and influences strategic technology direction. Leveraging deep expertise in C++, CUDA, Linux systems, kernel and user-space development, the role solves complex technical challenges, mentors engineers, and collaborates across functions to deliver high-quality, high … relevant experience in a similar role (~8 years) with the ability to add value with limited development Experience Strong knowledge and demonstrable experience of CUDA and C++ Hands‐on experience in working within a structured engineering environment that includes: Requirements Analysis/Definition Design/Implementation Defect Tracking Testing ...

Design, build, and optimize distributed training systems (PyTorch) for multi-node GPU clusters, ensuring scalability, robustness, and high utilization Implement efficient low-level code (CUDA, cuDNN, Triton, custom kernels) and integrate it seamlessly into high-level training frameworks Optimize workloads for hardware efficiency: CPU/GPU compute balance, memory … Bring Deep experience in distributed systems, ML infrastructure, or high-performance computing (8+ years) Production-grade expertise in Python Low-level performance mastery: CUDA/cuDNN/Triton, CPU-GPU interactions, data movement, and kernel optimization Scaling at the frontier: experience with PyTorch and training jobs using data, context ...

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. Responsibilities Write and optimise custom CUDA kernels for core transformer ...