Robotics Jobs in Woking

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.

Wayve · London

Owns the autonomy performance measurement framework for a public-scale robotaxi deployment, defining metrics, dashboards and release gates for an end-to-end learned driving system with no existing playbook. Runs the performance improvement loop across model, robot software, backend and evaluation tooling, leading cross-functional execution without direct reporting authority while staying hands-on in Python, C++ and SQL.

Humanoid · London

Lead a team of technicians building, reworking and repairing complex humanoid robots, balancing build quality with high-velocity delivery. The role is hands-on, covering electro-mechanical assembly, harness routing, sensor installation and functional testing, while reporting risks and blockers to senior leadership and driving team culture and continuous improvement.

Wayve · London

A cross-functional individual contributor role shaping software architecture across onboard software, AI, simulation, training, inference and Robotaxi systems. The architect defines boundaries, interfaces and abstractions spanning AI, compute and vehicle platforms, leading large multi-team architectural changes and acting as a technical decision-maker on safety-critical systems.

Wayve · London

Lead a distributed team of seven engineers owning network and site infrastructure across offices, garages, labs and test facilities in six countries. The role combines people leadership with roughly 20% hands-on work, driving a multi-year network replacement, site builds, automation and security controls, plus on-call and regular international travel.

Wayve · London

Lead the Applied Methods Data Science team, partnering with the Autonomy organisation to turn experimental and observational analysis of real and simulated driving into evaluations and insights. Set three-, six- and 12-month roadmaps, review technical proposals for statistical rigour, and grow the team through hiring, tooling and automation.

Wayve · London

Owns the end-to-end architecture and technical roadmap for Remote Assistance, the real-time bridge between Wayve's AI Driver and human operators, spanning onboard vehicle integration, offboard services and operator HMI. Defines the vehicle-operator contract, fallback/MRM behaviour and latency budgets, and leads cross-org execution across autonomy, safety, platform and product teams to support the L4 safety case.

Wayve · London

Lead a team of ML engineers and applied scientists building a production synthetic-data engine from generative world models like GAIA-3, covering rig and pose transfer, controllability and large-scale GPU inference. Own the loop from checkpoint and config through generation, evaluation and training, while driving inference optimisation, valid-generation yield and cross-team integration with driving-model and safety teams.