76 to 100 of 134 CUDA Jobs in England

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 ...

/or PyTorch Experience of software development in Python, Rust, C/C++, or a similar language Experience monitoring and optimising code written in CUDA, ROCm, OpenCL, or similar Experience monitoring and optimising LLM deployments with 50+ billion parameters Experience working with stakeholders across multiple teams What We Offer ...

range widely, and include: Scientific tools Embedded C/C++ (typically owned by dedicated firmware engineers, but software engineers are welcome to learn!) Linux, CUDA, Server engineering for our AI safety, - security, and verification work Custom simulation software (usually python) Data analysis pipelines (python) What is it like ...

engineering problems. Please note that visa sponsorship is not available for this contractor role. Desired: Experience with GPU or NPU programming environments such as CUDA, ROCm, OpenCL or CANN/Ascend. Experience with AI frameworks or inference/serving systems such as PyTorch, vLLM, SGLang, ONNX Runtime, or similar ...

security practices, and performance optimization Qualifications ● PhD in CS/CE/EE, or equivalent, in industry experience ● Deep knowledge of PyTorch ● Experience with CUDA or Triton language for writing custom ops ● Knowledge of model training framework ● In-depth knowledge of transformer architecture and ways to accelerate the training ...

security practices, and performance optimization Qualifications PhD in CS/CE/EE, or equivalent, in industry experience Deep knowledge of PyTorch Experience with CUDA or Triton language for writing custom ops Knowledge of model training framework In-depth knowledge of transformer architecture and ways to accelerate the training ...

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 ...

infrastructure. ORCA PT Series quantum systems are room temperature and rack-mounted which connect directly to GPU clusters via NVIDIA’s CUDA-Q platform, enabling accelerated AI workloads delivering advantages over traditional silicon-based systems. Backed by a strong portfolio of patent families spanning photonic integrated circuits, quantum memory ...

researchers to push state-of-art ML for autonomous driving, designing scalable training pipelines and robust deployment. Applicants should have PhD, PyTorch expertise, CUDA/Triton experience, and proven distributed training capabilities. #J-18808-Ljbffr ...

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 ...

systems Strong experimental judgement Ability to work comfortably across ML research and systems engineering Optional vLLM, SGLang, Ray, FSDP or Megatron-LM CUDA, Triton, CuTE or GPU performance optimisation Shortlisted candidates will be contacted within 48 hours. #J-18808-Ljbffr ...

security access you must have been in the U.K. for at least five years Desirable experience includes: MATLAB/Simulink OpenGL or Vulkan CUDA or OpenCL FPGA or HDL exposure Video processing or machine learning Experience within defence, aerospace, automotive, or other high-reliability industries If you're looking ...

. Experience with an inference runtime or execution engine (ONNX Runtime execution providers, a custom NPU or DSP runtime). Experience with GPU compute (CUDA, OpenCL, Vulkan) or SIMD optimization on Arm or x86. Experience with large‐model execution techniques such as offloading, expert caching, speculative decoding, pipelining across ...

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 ...

practical experience troubleshooting production systems with logs, metrics and system-level tooling. Nice to Have: Familiarity with the NVIDIA GPU ecosystem, such as drivers, CUDA, nvidia-smi, GPU-enabled container runtimes or Kubernetes GPU scheduling. This isn’t essential: strong systems debugging and a genuine interest in learning this ...

Operations High-Performance Computing (HPC) Linux Systems Administration Technical Operations Leadership Service Delivery & Operational Excellence Stakeholder Management Desirable Research Computing Environments GPU Infrastructure (NVIDIA, CUDA) Scientific Computing Distributed Computing Cloud Platforms (Azure, AWS or GCP) Infrastructure Automation DevOps Practices,CI/CD Network Infrastructure & Storage Platforms Research Technology Platforms ...

facto technical authority (the person everyone routes hard problems to) Core Tech/Domain: Deep NVIDIA stack familiarity (HGX platforms, NVLink/NVSwitch, CUDA-level debugging, NCCL performance tuning), across both air-cooled and liquid-cooled estates Methodology/Protocols: Infrastructure-as-code, monitoring and alerting stacks, and automated ...

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 ...

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 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 ...

position‐based dynamics or MPM. Experience with sim-to-real transfer, including domain randomisation or system identification. Experience with GPU programming, such as CUDA, Warp or JAX. Experience with procedural content generation, 3D asset pipelines or photorealistic rendering. Experience training or evaluating robot learning policies in simulation. ...

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 ...

design and implement real-time 3D rendering and physics-based simulations on the GPU for defence applications. The role focuses on C++ development and CUDA/OpenGL/Vulkan, translating RF/EO/IR models into efficient software. Based in Stevenage, the role offers a salary ...

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. ...

infrastructure. ORCA PT Series quantum systems are room temperature and rack-mounted which connect directly to GPU clusters via NVIDIA's CUDA-Q platform, enabling accelerated AI workloads delivering advantages over traditional silicon-based systems. Backed by a strong portfolio of patent families spanning photonic integrated circuits, quantum memory … maintain documentation and tutorials. Lead the development of ORCA's integrations with other quantum and classical software tools and frameworks, such as NVIDIA's CUDA-Q, PyTorch and JAX. Provide escalation support for ORCA's Customer Success team leading root-cause analysis, communicating clearly with customers and internal stakeholders ...