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

Owns the end-to-end release cycle for AI driving models, coordinating ML engineering, evaluation, data science, platform, testing and product teams. Defines release gates and promotion criteria from training through validation to fleet deployment, drives regression investigations and rollback decisions, and builds tooling and KPIs to remove bottlenecks in a non-deterministic ML environment.

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.

NVIDIA · United Kingdom

Hands-on development of kernel generation and computational graph optimizations for next-generation NVIDIA GPUs, solving complex compilation problems for AI inference and training workloads. The role involves co-designing future silicon with software, hardware and research teams, and scaling datacenter-scale AI deployments. Requires deep MLIR and C/C++/Python expertise.

Wayve · London

Sets technical strategy and roadmap for fault detection and fallback systems in an autonomous driving stack, designing and training detection mechanisms for robust driverless operation. Leads integration into the shared driving stack, aligning ML, inference optimisation and software teams, and mentors through architecture reviews. Works with large-scale training and fleet data in a small, high-impact team.

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.