19 of 19 CUDA Jobs in London

communication skills. Desirable experience Vision Transformer architectures. Object detection, tracking, segmentation or pose estimation. Multi-object localisation or multi-modal perception systems. GPU optimisation, CUDA, inference acceleration or edge AI. Real-time computer vision systems. Docker, Kubernetes, Kubeflow or MLOps pipelines. Aerial, satellite or ISR imagery. Synthetic data generation ...

into reliable software. Experience developing maintainable code using version control, testing and CI/CD. Strong analytical, problem-solving and communication skills. Desirable experience CUDA and GPU programming. Python and PyTorch. CNNs, Transformers or broader deep learning architectures. Synthetic training imagery and simulation environments. ISR imagery or defence-related ...

environments. Bonus Experience Any of the following would be advantageous: Quantitative finance Machine learning Scientific computing High-performance computing (HPC) Distributed systems GPU programming (CUDA) Optimisation Statistics Numerical methods Time-series modelling Cloud infrastructure Docker or Kubernetes Why This Role? This is an opportunity to work on problems that ...

degree in Computer Science, Computer Engineering, Mathematics, or a highly quantitative field.Preferred Qualifications:Experience with networking protocols (TCP/IP, UDP) or hardware acceleration (CUDA/GPUs).Familiarity with CVS, git and Linux/Unix environments.Basic understanding of quantitative finance and algorithmic trading.Jefferies is a leading global, full-service ...

models.Scale & Performance: Experience training models across distributed systems (multi-GPU/multi-node) and optimising training and inference performance (e.g., XLA, Triton, CUDA, Pallas).Domain Knowledge: A strong interest in, or knowledge of, biochemistry, computational biology, or drug discovery fundamentals.Industry Experience: Proven track record working in reputable tech companies ...

operating large-scale AI, machine learning, or distributed computing platforms in enterprise environments.Deep understanding of LLM architectures and their interaction with GPU infrastructure, including CUDA, cuDNN, NCCL, kernel-level acceleration libraries, and distributed training frameworks such as PyTorch.Strong knowledge of distributed training and inference strategies, including tensor, pipeline, data ...

distributed systems, HPC, or cloud platforms for CPU and GPU workloads.Experience with profiling, benchmarking, or performance analysis.Additional Qualifications (Nice to Have)Familiarity with CUDA or other GPU development frameworks.The minimum base salary for this role is $150,000 if located in New York. This expectation is based on available ...

every box, but any exposure to the following would be valuable: High-Performance Computing/HPC C++ Python Rust Java or C# GPU programming CUDA or ROCm Parallel programming Distributed systems Cluster computing Job schedulers or batch-processing frameworks Linux Numerical computing Monte Carlo simulation Quantitative finance Trading technology ...

qualifications:Experience with developing serving infrastructure.Experience programming hardware accelerators (GPUs, TPUs) via ML frameworks (e.g., JAX, PyTorch) or low-level programming models (e.g., Pallas, CUDA, OpenCL).Experience profiling software to identify performance bottlenecks.Experience with distributed ML systems optimization and parallelism (e.g., data, model, or pipeline parallelism).Familiarity with writing ...

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 ...

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 ...

PyTorch ecosystemExperience with inference optimisation techniques, including quantisation, speculative decoding and model parallelism across modern GPU architecturesStrong software engineering skills, including Python, CUDA and building reliable systems for machine learning workloadsStrong communication skills, with the ability to collaborate across research, infrastructure and engineering teamsWhy join us Highly competitive compensation ...

they are looking for a Senior Machine Learning Engineer to join their expanding team in London. Required Experience Strong C++ development skills. Experience with CUDA for GPU acceleration. Python and PyTorch experience. Knowledge of Transformers, computer vision or image analysis. Postgraduate or commercial experience within AI/Machine Learning ...

technology that will power the next generation of AI What We’re Looking For Strong C/C++ programming experience Experience with GPU programming (CUDA, OpenCL, HIP, or similar) Strong understanding of parallel computing and computer architecture Experience optimising high-performance workloads Passion for building cutting-edge technology ...

purely academic backgrounds. Full-stack depth: distributed training frameworks such as Megatron-LM, DeepSpeed or FSDP, GPU performance work, and experience down to the CUDA, Triton or XLA level. Contributions to open-source ML frameworks or research codebases. They genuinely value this. Strong software engineering habits. Clean code, good ...

system installation, performance tuning, and troubleshootingExpertise in troubleshooting distributed GPU workloadsDeep knowledge around GPU optimization and performance Proficiency in Python scripting and automation frameworks CUDA or C/C++ experience is a plusExperience with NVIDIA technologies beyond CUDA, such as NCCL, GPUDirect RDMA, and NVLink Familiarity with configuration ...

experience in clinical data structures and programming with dataexpert in functional and object-oriented programming. Knowledgeable in Javascript/Typescript, HTML, WebGL, experience in CUDA/GPU-programing, cloud-computing, Github, web-hosting/Machine Learning. Strong communication skills and ability to work both, independently and collaboratively, clear … clinical data structures and programming with data -Expert in functional and object-oriented programming knowledgeable in Javascript/Typescript, HTML, WebGL -Experience in CUDA/GPU-programing, cloud-computing, Github, web-hosting -Strong communication skills and ability to work both, independently and collaboratively, clear in the presentation of complex ...

operate in significantly outpaces what we can currently build, meaning speed to power and reliability are critical to how we scale. This puts CUDA/GPU performance engineering at the center of how Fuse scales its compute infrastructure.ResponsibilitiesDesign, implement, and optimise CUDA kernels for high-throughput, latency-sensitive …/GPU baselines and drive continuous performance improvements.Contribute to internal libraries, documentation, and best practices for GPU performance engineering.Requirements4+ years of experience writing production CUDA code, or equivalent strong project/industry experience.Deep understanding of GPU architecture (SMs, warps, memory hierarchy, occupancy).Proficiency in C++ and CUDA; experience ...

impactful on the business, and it will be challenging: this is a field with no easy or obvious solutions.QualificationsStrong engineering skills, especially any of: CUDA/Triton/Pallas/CuTe DSL kernel development, lower-level PyTorch/JAX/XLA development, CUDA Graphs, FPGA/ASIC experienceMust ...