1 to 25 of 35 Remote/Hybrid CUDA Jobs

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 ...

Strata, QuantLib, ORE) is an advantage. Hands‐on HPC experience: Parallel/concurrent programming (multithreading, multiprocessing, synchronization, concurrent data structures). GPU compute with CUDA, including GPU architecture (memory hierarchy, warps, occupancy, host–device transfers); ROCm/HIP a plus. Writing and optimizing compute kernels: profiling (e.g. Nsight/ ...

Familiarity with development to design and coding standards . Good teamwork and communication abilities Useful to have Python, C#, LabVIEW software development Experience CUDA integration (AI/ML) Industrial protocols (read-across to Synergia etc.) Experience with Infrared Physics, Computer Science, Software Engineering, ITQSB or Relevant Higher Level Formal ...

Tune, or similar frameworks Strong engineering practices: reproducible experimentation, clean code, testing, and performance-aware debugging Comfort with modern ML infrastructure (e.g., Docker, CUDA, Kubernetes, experiment tracking tools such as Weights & Biases) PREFERRED Experience with multimodal or multi-task model architectures Training and inference optimization (e.g., mixed precision, kernel ...

lifecycle of models in a multi‐tenant, high‐availability system. Familiarity with building ML inference services, model serialization (e.g., ONNX), and GPU programming (CUDA). You've built or worked on custom storage or job‐queueing systems before and have the scars to prove it. Maybe ...

architectures, including cross-architecture deployability and strict QoS timing constraints. Familiarity with High-Performance Computing (HPC), NVIDIA GPU acceleration, and hardware optimization (e.g., CUDA, TensorRT). Native fluency in Linux, Docker, and CI/CD pipelines—you know how to deploy and scale headless simulations unattended. Experience building ...

systems, including vector database management and semantic search optimization. Preferred Qualifications Experience in the insurance or financial services sector. Deep knowledge of GPU architecture , CUDA, and hardware-level performance optimization. Familiarity with Document Intelligence frameworks (OCR, layout analysis, and multimodal extraction). MUST be fluent in Mandarin OR Cantonese ...

complex APIs, third-party libraries, and scalable data pipelines. Desirables: Direct experience with FFmpeg or GStreamer. Familiarity with GPU-accelerated video/AI tech (CUDA, PyTorch, TensorRT, DeepStream). Experience with multimodal AI (VLMs, LLM APIs, Retrieval-Augmented Generation). Cloud and containerization skills (AWS, Docker). ...

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 ...

Some Linux administration; understanding setup for HPC middleware. Nice to Haves: 5+ years HPC application experience Experience building and running HPC applications on GPU. CUDA or OpenACC or OpenMP paradigms. Experience running AI models on CPU or GPU. Any experience understanding/inspecting/writing assembly Understanding of memory ...

recruitment. Building engineering teams through hiring, onboarding, mentoring or capability development. Open-source development or large software projects with complex dependencies. Vulkan, OpenCL, CUDA, DirectX, Metal or similar graphics and compute APIs. Machine learning frameworks, inference runtimes or model tooling. CI/CD, CMake, cross-compilation, packaging or developer ...

recruitment. Building engineering teams through hiring, onboarding, mentoring or capability development. Open‐source development or large software projects with complex dependencies. Vulkan, OpenCL, CUDA, DirectX, Metal or similar graphics and compute APIs. Machine learning frameworks, inference runtimes or model tooling. CI/CD, CMake, cross‐compilation, packaging or developer ...

/20), delivering robust, scalable, and maintainable solutions. Develop and optimize compute-intensive algorithms using multithreading, SIMD techniques, and GPU acceleration technologies such as CUDA and OpenCL. Analyze software performance, identify computational bottlenecks, and implement optimizations across CPU and GPU architectures. Leverage AI-assisted engineering tools such as GitHub ...

forecasting tools, Python or spreadsheet-based, from research, a thesis, a placement, or serious personal projects Hands-on work with GPU or accelerator code, CUDA or similar Familiarity with profiling tools (Nsight, PyTorch Profiler) and ideally some exposure to monitoring stacks (Prometheus, Grafana) Strong Python for data work, Pandas ...

throughput distributed systems Background in AI media generation (image, video, audio) Experience building internal ML tooling or developer-facing APIs Experience with kernels in CUDA/C++ We're a remote-first team that comes together in person twice a year to plan, collaborate, and celebrate wins. ...

finance, trading, or quantitative research (not required). Publications, competition results (e.g., Kaggle, academic ML contests), or open-source contributions. Familiarity with C++, CUDA, or low-latency systems. Here is why you should join our dynamic team: Opportunity to work at one of the world's leading algorithmic trading ...

time alerts. Experience with transformer‐based and multimodal architectures, including vision‐language models (VLM), vision‐language‐action models (VLA), or equivalent. Proficiency in C++, CUDA, distributed training, or performance optimization for production machine learning systems. This is a full‐time role based in our office in London. At Wayve ...

with tight constraints (latency, memory, bandwidth, power/thermal, or cost). Strong proficiency with at least one relevant stack/toolchain (e.g. TensorRT, CUDA, Qualcomm QNN, Triton, OpenCL) and confidence learning adjacent frameworks quickly. Comfort operating at multiple levels of abstraction — from high‐level model behaviour down ...

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 ...

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 ...

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 ...

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 ...

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 ...

optimize the end-to-end ML stack: data pipelines, training loops, inference serving, and deployment. Design and implement GPU-accelerated components, including custom CUDA kernels where off-the-shelf libraries are not enough. Work closely with the founders to translate product requirements into concrete optimization goals and technical roadmaps. ...