21 of 21 CUDA Jobs in England

systems design. Computational mathematics and signal processing application. TCP/IP and IP networking protocols. Linux and Windows deployment and debugging. GPU programming awareness (CUDA, HIP, OpenCL). Web services and virtualisation technologies. Required Education Bachelor’s or Master’s degree in Software Engineering, Computer Science, Electronics, Mathematics ...

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 ...

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 ...

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 ...

science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training, MLOps, and academic research in machine learning are also beneficial. Experience configuring and maintaining cloud ...

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 ...

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 ...

Experience with Bitbucket, Artifactory or CI/CD environments. Understanding of secure software development and vulnerability management. Experience with GPU acceleration technologies such as CUDA, OpenCL or HIP. Previous experience working within highly regulated or defence environments. Familiarity with engineering quality processes and standards. BENEFITS: Competitive Basic Salary ...

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 ...

offs, autoscaling, spot fleets, capacity planning. HPC/batch compute experience (AWS Batch, ParallelCluster, Slurm, Karpenter) for heavy simulation or ML workloads. GPU infrastructure: CUDA-aware scheduling, GPU operator, driver pain. Nix experience (inc Nix Flakes) for reproducible builds and dev environments. Open-source contributions, especially ...

science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training, MLOps, and academic research in machine learning are also beneficial. At a personal level ...

architectures Optional Bonus Research engagement: advanced degree with research output, top-tier publications (NeurIPS, ICML, MLSys, OSDI), or open-source contributions GPU kernel work - CUDA, Triton, or similar Experience with quantisation, speculative decoding, disaggregated inference, or KV-cache compression Shortlisted candidates will be contacted within 48 hours. ...

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 ...

high-quality, maintainable, performance-oriented code Experience with MLOps, including model deployment, monitoring, and iteration Publications in NeurIPS, ICLR, ICML etc. GPU programming experience (CUDA, OpenCL) London based, apply now for more details. Hybrid work culture, top pay and bonuses. ...

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 ...

corporate actions at extreme throughput. ML inference pipelines where latency and determinism aren't negotiable. Who we want: Deep C++ and Python. Experience with CUDA or GPU-accelerated systems is a plus. You've built low-latency systems, distributed systems under real constraints, or large-scale data processing. ...

lead candidates: Hire and mentor a small team of exceptional engineers and researchers Qualifications You've written and shipped high-performance or SOTA CUDA kernels Deep understanding of mixed precision, quantisation (INT4, INT8, FP8, MXFP4, block-scaled formats), kernel fusion, distributed computing strategies (TP, PP, CP) You've made ...

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 ...

delivery end-to-end Experience developing reliable desktop or embedded applications Strong understanding of software engineering trade-offs and system design Highly Desirable Skills CUDA, OpenCL, compute shaders, or GPU acceleration experience Experience with CGAL, libigl, Open3D, or similar frameworks CAD/CAM, additive manufacturing, dental technology, or industrial … application to our client in conjunction with this vacancy only. Key Skills C++, Rust, Computational Geometry, Mesh Processing, STL, CAD/CAM, GPU Compute, CUDA, OpenCL, Open3D, CGAL, Qt, Desktop Applications, Embedded Software, Machine Control, Manufacturing Technology, Software Engineering ...