3 of 3 Remote NVIDIA Jobs in the Thames Valley

PyTorch, TensorFlow, scikit-learn. • Experience working with cloud AI platforms (AWS, Azure or GCP). • Exposure to private/on-prem AI platforms (e.g. NVIDIA-based stacks, private AI platforms). • Solid understanding of data engineering concepts (ETL, data lakes, Spark or similar). • Experience designing scalable, distributed systems. • Familiarity ...

robotic middleware and interfaces (e.g., ROS 2 or similar) Contribute to and leverage simulation, modelling, and validation of robotic systems in virtual environments (e.g., Nvidia Isaac, Gazebo) and physical labs. Collaborate with cross-disciplinary teams to combine software, hardware, and intelligence. Contribute to the full engineering lifecycle, including architecture ...

usage & integration: Comfortable reading API docs, handling auth, rate limits, and building reliable consumers/producers. Nice to have Routing/optimisation exposure: NVIDIA cuOpt, VROOM, HERE (or similar); familiarity with multi-drop, time windows, packing rules. Spatial data experience: Coordinates, geocoding, map/route visualisation, basic GIS concepts. Cloud … read TS and collaborate on data contracts with the Command team. Our environment Python, Polars/pandas, NumPy, scikit-learn, Plotly, SQL/Postgres, NVIDIA cuOpt, HERE APIs, AWS (S3, ECS/Lambda, SNS/SQS), Docker, GitHub Actions, TypeScript/Node (Command services). Interview process 30-min intro ...