1 to 25 of 26 CUDA Jobs in England

ingestion, transformation, validation, versioning, republish — ideally including real‐world sources with rate limits, auth, or undocumented APIs. Hands‐on GPU compute and performance debugging (CUDA/NCCL, GPU utilization, networking bottlenecks, profiling). Working knowledge of cloud environments (AWS, GCP, or Azure), including object storage, IAM, and cost awareness. ...

professional industry setting, where you have been instrumental in: building machine learning models and pipelines in Python, using common libraries and frameworks (PyTorch/CUDA, ideally with exposure to JAX, NumPy/SciPy), especially including deep learning applications; developing models for bespoke problem settings that involve high‐dimensional data ...

TensorFlow; comfortable with distributed training (DeepSpeed/FSDP/SLURM/K8s). Experience in deep learning, NLP or LLMs; bonus for CUDA or data‐pipeline chops. Strong software‐design instincts: testing, code review, CI/CD. Self‐starter, low‐ego, collaborative. Benefits France 💰 Competitive cash salary and equity ...

performance of XTX's training and inference platforms. The remit is wide, and you should expect to be challenged. We are not just writing CUDA code. Amongst other things, you will be working on a sophisticated optimising compiler for a variety of accelerated computing platforms. You should be proficient ...

will need Skills in Windows and Linux native software (C/C++), dynamic languages like python, GPU-acceleration and 3D graphics (Open GL, GLSL, CUDA, Vulkan), A strong software background including software architecture design, concurrency, synchronisation, and database design An appreciation of or the desire to learn the physics ...

different compute, memory, and communication configurations, as well as hardware and software implementation choices, on AI acceleration. Experience with GPU compute APIs such as CUDA or OpenCL, and the ability to utilize GPU/NPU‐optimized libraries to enhance performance. Experience in the development of deep learning frameworks, compilers ...

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 ...

architectures and model optimisation Excellent software engineering and problem-solving abilities Experience working with complex datasets and real-world machine learning challenges Desirable Skills CUDA TensorRT Triton Quantised model training Edge AI deployment Computer Vision Robotics or autonomous systems Advanced C++ development Synthetic data generation What We're Looking ...

Godot or similar engines Understanding of different computer graphics techniques and understand the associated tradeoffs Exposure to ML/AI Experience with OpenCL/Cuda style compute solutions Android development experience Experience working cross site #LI-ZN1 Please note that no relocation package is available for this role. ...

Godot or similar engines Understanding of different computer graphics techniques and understand the associated tradeoffs Exposure to ML/AI Experience with OpenCL/Cuda style compute solutions Android development experience Experience working cross site #LI-ZN1 Please note that no relocation package is available for this role. ...

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 ...

optimization techniques. Excellent collaboration and interpersonal skills. Considered a Plus Experience in developing for QEMU and DynamoRIO (or x86 PIN). Experience with CUDA or OpenCL programming. What We Offer 33 days annual leave entitlement per year (including UK public holidays) Group Personal Pension Life insurance Private medical insurance ...

MLOps architecture. Willingness to learn new parts of the ML tech stack – Python, PyTorch, Docker, Kubernetes, Ray, Weights & Biases, Prefect, BigQuery, Postgres, GCP, CUDA, and model serving frameworks. Fluency in life sciences or drug discovery is a plus. Working Location & Compensation: This is an office‐based, hybrid position ...

tech stack that you might not already know. Our current ML infrastructure includes: Python, PyTorch, Docker, Kubernetes, Ray, Weights & Biases, Prefect, BigQuery, Postgres, GCP, CUDA, and various model serving frameworks. Fluency in life sciences or drug discovery is a plus but not required to be considered. Working Location & Compensation ...

edge technology and real commercial impact in a high-growth environmen t. You’ll be working acro ss:GPU/accelerated compute (NVIDIA ecosystem, CUDA, et c.)Cloud + virtualisation (orchestration, provisioning, multi-tenant environmen ts)AI/ML workloads — training, inference, production scal ingData centre & high-performance network ...

United States Digital Space LLC is hiring for a Quantitative Developer to join their Numerical Performance Group in London, England. This role involves designing, developing, and enhancing quantitative libraries critical for pricing and risk management. ...

scientific workloads)Provision and optimize GPU/TPU-based infrastructure on GCP (A3/A4, TPU pods)Analyze performance across frameworks (PyTorch, TensorFlow, JAX, CUDA, ROCm)Identify system bottlenecks (compute, memory, network, I/O)Build automation tools … benchmarking and reportingCollaborate with teams to align workloads with optimal architectureRequired SkillsStrong experience with GCP (Compute Engine, GKE, Storage, Networking)Hands-on with NVIDIA (CUDA/NCCL), AMD (ROCm), and TPUs (XLA/JAX/TF)Solid knowledge of HPC concepts (MPI, RDMA, InfiniBand, Slurm/Kubernetes)Experience with ...

scientific workloads) Provision and optimize GPU/TPU-based infrastructure on GCP (A3/A4, TPU pods) Analyze performance across frameworks (PyTorch, TensorFlow, JAX, CUDA, ROCm) Identify system bottlenecks (compute, memory, network, I/O) Build automation tools for benchmarking and reporting … Collaborate with teams to align workloads with optimal architecture Required Skills Strong experience with GCP (Compute Engine, GKE, Storage, Networking) Hands-on with NVIDIA (CUDA/NCCL), AMD (ROCm), and TPUs (XLA/JAX/TF) Solid knowledge of HPC concepts (MPI, RDMA, InfiniBand, Slurm/Kubernetes) Experience with ...

scientific workloads) Provision and optimize GPU/TPU-based infrastructure on GCP (A3/A4, TPU pods) Analyze performance across frameworks (PyTorch, TensorFlow, JAX, CUDA, ROCm) Identify system bottlenecks (compute, memory, network, I/O) Build automation tools for benchmarking and reporting … Collaborate with teams to align workloads with optimal architecture Required Skills Strong experience with GCP (Compute Engine, GKE, Storage, Networking) Hands-on with NVIDIA (CUDA/NCCL), AMD (ROCm), and TPUs (XLA/JAX/TF) Solid knowledge of HPC concepts (MPI, RDMA, InfiniBand, Slurm/Kubernetes) Experience with ...

We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity. From our London HQ, we unite world‐class researchers and engineers in an environment that values deep exploration and ...

level optimisation Develop pricing models using numerical techniques such as Monte Carlo methods and partial differential equation (PDE) solvers Work with technologies including C++, CUDA, Python, and adjoint algorithmic differentiation (AAD) Contribute to the technical direction of the group, mentor junior team members, and collaborate closely with quant teams … experience in a high‐performance computing or numerical software role (experience outside of finance will be considered) Strong programming skills in C++; experience with CUDA and Python preferred Excellent background in computational mathematics, numerical analysis, or a related quantitative discipline Demonstrated ability to design, implement, and optimise complex mathematical ...

level optimisation* Develop pricing models using numerical techniques such as Monte Carlo methods and partial differential equation (PDE) solvers* Work with technologies including C++, CUDA, Python, and adjoint algorithmic differentiation (AAD)* Contribute to the technical direction of the group, mentor junior team members, and collaborate closely with quant teams … experience in a high‐performance computing or numerical software role *(experience outside of finance will be considered)** Strong programming skills in C++; experience with CUDA and Python preferred* Excellent background in computational mathematics, numerical analysis, or a related quantitative discipline* Demonstrated ability to design, implement, and optimise complex mathematical ...

level optimisation Develop pricing models using numerical techniques such as Monte Carlo methods and partial differential equation (PDE) solvers Work with technologies including C++, CUDA, Python, and adjoint algorithmic differentiation (AAD) Contribute to the technical direction of the group, mentor junior team members, and collaborate closely with quant teams … across asset classes Skills and Experience Proven experience in a high‐performance computing or numerical software role Strong programming skills in C++; experience with CUDA and Python preferred Excellent background in computational mathematics, numerical analysis, or a related quantitative discipline Demonstrated ability to design, implement, and optimise complex mathematical ...

such as oil and gas, automotive/aerospace, financial services or pharmaceuticals. Proficient in one or more of the following programming languages: C++, Python, Cuda, or Bash. - Experience in architecting an HPC platform with scheduling middleware (e.g. Slurm, Torque, Symphony or GridServer) and in deployment, tuning and management … programming models for both loosely and tightly coupled applications, including proficiency with MPI (OpenMPI, MPICH), OpenMP, and hybrid parallelization strategies, and GPU programming using CUDA, OpenACC, or similar technologies, with demonstrated ability to optimize applications for GPU architectures. - Significant experience in infrastructure architecture and networking. Experience with infrastructure ...

about efficient large-scale training, low-latency inference in real-time systems and high-throughput inference in research. Part of this is improving straightforward CUDA, but the interesting part needs a whole-systems approach, including storage systems, networking and host- and GPU-level considerations. Zooming in, we also want … end. Low-level GPU knowledge of PTX, SASS, warps, cooperative groups, Tensor Cores and the memory hierarchy. Debugging and optimisation experience using tools like CUDA GDB, NSight Systems, NSight Compute-sight-systems and nsight-compute. Library knowledge of Triton, CUTLASS, CUB, Thrust, cuDNN and cuBLAS. Intuition about the latency ...