76 to 100 of 143 CUDA Jobs

this role, candidates must have been resident in the UK for at least five years. Desirable Experience MATLAB/Simulink OpenGL or Vulkan CUDA or OpenCL FPGA or HDL exposure Video processing or machine learning Background in defence, aerospace, automotive, or another high-reliability industry #J-18808-Ljbffr ...

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 ...

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 ...

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 ...

scaling inference initiative and a high-assurance/regulatory environments initiative. You will work with Python and low-level languages (C/C++, Rust, CUDA), contribute to upstream OSS, and optimise performance on GPUs/TPUs, with a focus on safety and explainability for regulated settings. #J-18808-Ljbffr ...

systems, collaborating with software, product management and research teams. You will require BS+10y or MS+7y in CS/ML/Robotics, expert Python and CUDA/PyTorch skills, and a track record in computer vision and model fine-tuning. #J-18808-Ljbffr ...

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 ...

equivalent Due to security access you must have been in the U.K. for at least five years 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 #EmbeddedSoftware #EmbeddedEngineer #Cpp #Linux ...

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 ...

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 ...

Agentic and Graph RAG techniques Experience building and scaling AI/ML workloadsusingdistributed training/serving frameworks (e.g., Ray) and GPU acceleration (e.g., CUDA) environments. Proficiency with modern AI system architectures and patterns, including RAG, agentic RAG, and multi-agent systems. Familiarity with LLM evaluation methodologiesacross quality, safety ...

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 ...

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 ...

matrix methods, density-functional theory, coupled-cluster + extensions, DMFT experience in using quantum circuit programming and compilation, for example using Cirq, Qiskit, Tket, CUDA-Q An exceptional publication record in relevant fields, Ability to collaborate effectively in cross-functional teams Preferred Qualifications Knowledge of quantum error correction schemes ...

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 ...

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 ...

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 ...

programming experience with Python and C++, Rust, or similar systems languages Experience with LLM inference frameworks and model-serving infrastructure Hands-on experience with CUDA, ROCm, Triton, or similar GPU/accelerator programming technologies Experience developing, integrating, or optimizing performance-critical compute kernels Understanding of modern transformer ...

workload modellingIdentify and eliminate architectural bottlenecks Workload & Software Ecosystem Define strategies for workload orchestration (SLURM, Kubernetes for HPC, etc.) Guide software stack design (MPI, CUDA, compilers, libraries, containers) Ensure reproducibility, portability, and performance of workloads Our company: Peace is not a given, Freedom is not a given, Sovereignty ...