26 to 50 of 89 CUDA Jobs in London

through evaluation. Desirable Skills & Experience Experience training, fine-tuning or optimising foundation models. Experience with large-scale distributed training and experimentation. Experience with JAX, CUDA or other high-performance ML tooling. Publications at leading machine learning conferences or journals. Contributions to open-source machine learning or reinforcement learning projects. ...

site. The work is highly interdisciplinary, so you may have experience across these or other areas: Image processing and computer vision High performance computing, CUDA Machine learning and reinforcement learning Networks, radio, wireless technology and protocols Data centre They are looking for someone with experience working in robotics. About ...

Python and PyTorch; you write clean, experimental code and iterate fast. JAX is acceptable with strong Python proficiency. C++ and Rust are not required, CUDA and GPU knowledge is expected but hands-on experience is not required. Research experience of some form: a thesis, publications, a dedicated research project ...

infrastructure and containerised environments. A track record of taking research code from prototype to robust, reusable infrastructure that other people actually use. Bonus experience: CUDA/Triton kernel development; FlashAttention-style attention implementations; experience with foundation models for biology, vision, or language; contributions to open-source ML frameworks. Personally ...

automation and orchestration systems for these platforms Proficiency in a low-level language such as C, C++, or Rust and in GPU frameworks like CUDA Competence in front-end web design to allow easy interfacing with large datasets Our Culture Follow the science. We prioritise rigorous scientific inquiry, relying ...

communication. Nice to have Contributions to KServe, vLLM, SGLang or adjacent inference, gateway or orchestration projects. Experience modifying engine internals, profiling kernels or diagnosing CUDA and collective-communication issues. Experience with mixture-of-experts models, expert parallelism, speculative decoding or disaggregated serving. Experience routing by data-sensitivity policy, evaluation ...

Dutch, Swedish, Norwegian, Danish, or Finnish is a plus. Preferred Familiarity with NVIDIA GPU architectures (H100, A100, H200) and the software stack around them: CUDA, NCCL, cuDNN. Working knowledge of high-performance networking concepts: InfiniBand, RDMA, RoCE, TCP/IP. Background working directly with AI labs, research institutions ...

performance and low-level optimisation: reasoning about memory, compute and latency at the device level, and optimising performance across kernels, compilers and hardware (e.g. CUDA, Triton or equivalent). Production inference systems: hands-on experience building and hardening real-time, low-latency prediction pipelines in high-performance environments. Numerics ...

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 ...

/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 ...

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 ...

meetings and events. Resourceful, collaborative, and comfortable taking ownership in a high‐performance startup. Nice to have Deep knowledge of vendor SDKs such as CUDA, ROCm, Vela, or Vitis AI. Experience with edge CPUs, GPUs, and NPUs, including Jetson, Raspberry Pi, Snapdragon, or Arm platforms. Linux, Docker ...

complex APIs, third-party libraries, and scalable data pipelines. Desirables: Direct experience with FFmpeg or GStreamer. Familiarity with GPU-accelerated video/AI tech (CUDA, PyTorch, TensorRT, DeepStream). Experience with multimodal AI (VLMs, LLM APIs, Retrieval-Augmented Generation). Cloud and containerization skills (AWS, Docker). If this ...

token prediction, or other inference acceleration methods. Experience with agentic workloads, including tool calling, structured outputs, streaming APIs, high concurrency, and multi-step orchestration. CUDA or Triton familiarity, even if the role is not primarily a kernel-engineering role. Open-source contributions to vLLM, SGLang, TensorRT-LLM, FlashInfer, LMCache ...

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 ...

related inference acceleration methods. Experience supporting agentic workloads involving tool calling, structured outputs, streaming APIs, high concurrency, and multi‐step orchestration. Familiarity with CUDA or Triton; the role does not require kernel engineering to be the candidate’s primary specialization. Contributions to open‐source projects such as vLLM, SGLang ...

Medusa, multi-token prediction, orrelatedinference acceleration methods. Experiencesupporting agentic workloads involvingtool calling, structured outputs, streaming APIs, high concurrency, and multi-step orchestration. Familiarity with CUDA or Triton; the role does not require kernel engineering to be the candidate’s primary specialization. Contributions to open-source projects such asvLLM, SGLang ...

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 ...

PyTorch, Triton, and advanced scheduling tools like Kubernetes or Ray. Ideal candidates bring 3+ years in AI infrastructure, strong Python skills, and hands-on CUDA/C++ experience, with a degree in CS/EE/Applied Math. #J-18808-Ljbffr ...

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 ...

turn them into shipped features Contribute to platform design decisions, take part in design reviews and help us hire Work with Python, PyTorch, CUDA, Kubernetes and GCP/AWS Who we're looking for An owner. You take ambiguous product needs, make the architecture calls and carry the work ...

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 ...

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 ...