26 to 35 of 35 Remote/Hybrid CUDA Jobs

SDKs, APIs, or platforms that other engineers depend on. Experience developing for inference hardware and/or GPUs (e.g. one year or more using CUDA or ROCm). A good understanding of modern ML workloads and the practical challenges of deploying large language models to production. An instinct ...

teams across national and international sites to deliver scalable, high-throughput infrastructure. You will drive workload strategies with SLURM, Kubernetes for HPC, MPI/CUDA stacks, and ensure reproducibility and portability of workloads while partnering with MBDA vendors #J-18808-Ljbffr ...

week. Experience for the Senior GPU Software Engineer includes: 5+ years of software engineering experience with significant GPU or high-performance computing experience Strong CUDA and GPU programming experience Excellent C++ programming skills Strong understanding of CPU/GPU interaction and data movement #J-18808-Ljbffr ...

advancing AI and engineering best practices. Day-to-day tasking can include: Working on high-throughput vision systems on NVIDIA Jetson hardware, involving CUDA/TensorRT acceleration Multi-modal (thermal + optical) sensors Robust real-time tracking Exploring AI Assurance and AI Safety Delivering technical expertise on a variety … Skills: We are interested in the following skills, but they are not essential for you to apply: Knowledge of C++, Python, PyTorch, OpenCV, CUDA, TensorRT, Git, WSL, Docker, Jira/Confluence Machine Learning and Deep Learning Computer Vision methodologies and algorithms MLOps Developing AI for use on Edge Computers ...

advancing AI and engineering best practices. Day-to-day tasking can include: Working on high-throughput vision systems on NVIDIA Jetson hardware, involving; CUDA/TensorRT acceleration Multi-modal (thermal + optical) sensors Robust real-time tracking Exploring AI Assurance and AI Safety Delivering technical expertise on a variety … Skills: We are interested in the following skills, but they are not essential for you to apply: Knowledge of C++, Python, PyTorch, OpenCV, CUDA, TensorRT, Git, WSL, Docker, Jira/Confluence Machine Learning and Deep Learning Computer Vision methodologies and algorithms MLOps Developing AI for use on Edge Computers ...

reasoning and clear communication Debug ML Infrastructure & Distributed Workloads Investigate failures involving distributed training, Kubernetes orchestration, GPU allocation, networking, and storage systems Troubleshoot PyTorch, CUDA, NCCL, and inference serving related issues Analyze logs, metrics, traces, and system behavior to isolate root causes Debug containerized workloads running across Kubernetes … Infrastructure Experience Hands on experience operating machine learning workloads in production or research environments Experience with distributed ML systems and tooling such as PyTorch, CUDA, or NCCL Familiarity with GPU infrastructure and orchestration Experience troubleshooting performance, reliability, or scaling issues in ML infrastructure Understanding of the operational challenges involved ...

training (CT) and continuous monitoring (CM) to keep models fresh and safe in production. Deploy and tune GPU‐backed inference services (e.g., A100), optimise CUDA environments, and leverage TensorRT where appropriate. Operate scalable serving frameworks (NVIDIA Triton, TorchServe) with attention to latency, efficiency, resilience, and cost. Implement … expertise having hands‐on experience with Harness (or similar) building multi‐stage pipelines; experience with GitOps, artefact repositories, and environment promotion. Practical experience with CUDA, TensorRT, Triton, TorchServe, and GPU scheduling/optimisation. Proficiency in Prometheus, Grafana, Dynatrace defining SLIs/SLOs and alert thresholds for ML systems. Experience ...

engineers who have: A track record of working on model training or model inference at scale , or on low‐level GPU coding (e.g. CUDA, Triton). Experience with one is great, multiple is even better. What will I be doing? As a Senior AI Infrastructure Engineer focused on model … Model training (especially transformers and LLMs). Model inference at scale (again, especially transformers and LLMs). Low‐level GPU work , such as writing CUDA or Triton kernels. Comfortable working in production environments at meaningful scale (traffic, data, or organizational). You communicate clearly, can explain complex technical topics ...

This role is based in our London (Kings Cross) office. Responsibilities: Manage and mentor a team of software engineers working across embedded C++/CUDA, GUI, and embedded linux, setting priorities, individual development plans, conducting performance reviews, and maintaining a high standard of engineering practice Own the technical roadmap … product software stack, from the C++/CUDA host application and real-time processing pipeline, aligning with product and system requirements Lead design and architecture reviews across the software stack, ensuring quality, consistency, and sound technical decisions Drive software from prototype through to production release, managing dependencies with ...

About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and ...