Robotics Jobs in Woking

Humanoid · London

Lead operational execution across the company, owning the company-wide execution framework including roadmaps, delivery plans, timelines and milestones. Drive cross-functional alignment between engineering, product and leadership, monitor progress, resolve delivery risks and bottlenecks, and provide oversight to project managers. Distinct for its deep-tech robotics context and executive-level ownership of strategy-to-execution.

Humanoid · London

Lead the design of state estimation, long-term mapping and localisation loops, integrating modern machine learning and foundation geometry models into the core navigation stack. Train and deploy large-scale multimodal networks for ultra-low latency performance on edge hardware, building 3D spatial representations that give robots persistent spatial memory. Works cross-functionally between research and reliable robot integration.

Wayve · London

Lead the technical architecture and roadmap for onboard localisation, designing and productionising state-estimation systems that fuse GNSS, IMU and wheel odometry for accurate vehicle pose estimates. The role spans algorithm design, prototyping, validation and deployment on real-time vehicle platforms, with hands-on technical leadership and mentorship across robotics, calibration, controls and sensor teams.

Wayve · London

Owns Wayve's end-to-end data strategy across the AI learning cycle, from foundation model training to production programmes, leading a multidisciplinary Data organisation. Focuses on building the data flywheel, discovering rare and safety-critical scenarios in huge datasets using embeddings, semantic search and model-driven selection, and connecting data investment to model performance.

Humanoid · London

Senior systems engineering role focused on the software and autonomy stack of a humanoid robot platform, spanning perception, localisation, navigation, AI, motion planning, controls and ROS 2. Involves translating product needs into requirements, architectures and interfaces, coordinating integration across teams, and defining verification and validation strategies for autonomous behaviours.