17 of 17 CUDA Jobs in England

independently drive research projects from idea generation through experimentation and publication. Nice to Have Experience with classical reconstruction tooling (COLMAP etc). C++ or CUDA, and a feel for performance and on-device constraints. #J-18808-Ljbffr ...

Experience with multimodal reasoning or generation, action‐conditioned models, embodied AI, robotics or autonomous systems. Lower‐level programming for hardware efficiency, e.g. C++/CUDA/Triton. Practical familiarity with hardware considerations for deep learning, such as parallelism, memory hierarchy, vector and matrix engines, data movement, bandwidth limits ...

independently drive research projects from idea generation through experimentation and publication. Nice to Have Experience with classical reconstruction tooling (COLMAP etc). C++ or CUDA, and a feel for performance and on-device constraints. Compensation & Benefits £96,300 - £107,000 + bonus/equity/benefits Location & Work Model ...

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 ...

research goals with practical engineering constraints Strong problem-solving skills, results orientation, and excellent collaborative communication Reliable and predictable availability Bonus Points Expertise in: CUDA kernel development, Triton/Pallas/CuTe DSLs, PyTorch/JAX internals, XLA optimization, or hardware acceleration (FPGA/ASIC) Knowledge of reinforcement learning ...

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 ...

processing or related areas - Strong problem-solving skills and a thoughtful, structured approach - Good communication skills and a collaborative mindset - Knowledge of GPU/CUDA/OpenCL, video performance beneficial - Good degree Bachelors (2.1 or above), Master or PhD in a STEM subject What’s on offer: - The chance ...

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 ...

3+ years' experience in GPU development Experience developing GPU/AI Kernels Experience engineering for AI/ML workloads Experience with any of: CUDA, OpenCL, HIP, SYCL Knowledge of deep learning algorithms Interested in optimising tough linear algebra equations Knowledge of AI framework internals (PyTorch, TensorFlow, ONNX etc) Full ...

3+ years' experience in GPU development Experience developing GPU/AI Kernels Experience engineering for AI/ML workloads Experience with any of: CUDA, OpenCL, HIP, SYCL Knowledge of deep learning algorithms Interested in optimising tough linear algebra equations Knowledge of AI framework internals (PyTorch, TensorFlow, ONNX etc) Full ...

3+ years' experience in GPU development Experience developing GPU/AI Kernels Experience engineering for AI/ML workloads Experience with any of: CUDA, OpenCL, HIP, SYCL Knowledge of deep learning algorithms Interested in optimising tough linear algebra equations Knowledge of AI framework internals (PyTorch, TensorFlow, ONNX etc) Full ...

3+ years' experience in GPU development Experience developing GPU/AI Kernels Experience engineering for AI/ML workloads Experience with any of: CUDA, OpenCL, HIP, SYCL Knowledge of deep learning algorithms Interested in optimising tough linear algebra equations Knowledge of AI framework internals (PyTorch, TensorFlow, ONNX etc) Full ...

USVs, UAVs, or autonomous marine shipping. Experience with multispectral or thermal sensor calibration and fusion (EO/IR, LiDAR, Radar). Deep familiarity with CUDA, TensorRT, PyTorch, and OpenCV #J-18808-Ljbffr ...

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 ...

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 ...

exceptional academic record. Experience with HPC, supercomputing or large-scale distributed systems. Research experience involving computational workloads. Experience with parallel programming (MPI, OpenMP, CUDA). Knowledge of scheduling systems such as Slurm, PBS or LSF. Contributions to technical projects, open source or research communities. Experience working with advanced computing … Scale Computing, Scientific Computing, Numerical Computing, Computational Science, Computational Engineering, Performance Engineering, Performance Optimisation, Benchmarking, Profiling, Low Level Programming, C++, C, Python, Fortran, Rust, CUDA, GPU Computing, GPU Acceleration, Parallel Programming, MPI, OpenMP, Multithreading, Concurrency, Algorithms, Data Structures, Systems Design, Kernel Development, Networking, Storage Systems, Distributed Storage, Automation, Infrastructure ...