51 to 75 of 89 CUDA Jobs in London

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 … physics or another quantitative field, or equivalent practical experience. Nice to have Experience with quantum computing, quantum control stacks, quantum developer environments (such as CUDA-Q) or other advanced scientific instruments. Knowledge of digital signal processing, data acquisition, timing and synchronisation. Background in environments with high standards for reliability ...

Inference Engineer to join our growing team in the UK. You will optimize and scale our inference engine for latency and cost budgets, spanning CUDA kernels, Rust serving runtime, and Python model code. You should have hands-on experience with GPU programming, production distributed systems, and familiarity with ...

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 ...

does not. Thrive in ambiguous, early-stage environments where defining the problem is part of the job. Strong candidates may also have: CUDA or equivalent low-level accelerator programming. Compression, information theory, or model quantisation experience. Background in timing-based protocols, proofs of space or time, or distance bounding. ...

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 ...

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 ...

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 ...

principal) Architectures distribuées : microservices, API gRPC Middleware : Apache Pulsar, RabbitMQ Cloud : AWS Stockage HPC : Lustre (ou équivalent) Réseaux (atout) : RDMA, libfabric GPU (connaissances appréciées) : CUDA, architecture mémoire Profil recherché Expérience significative en développement de systèmes distribués Maîtrise de Rust, ou forte capacité à monter en compétence rapidement Solide compréhension ...

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 ...

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. ...

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 ...