150 jobs
Humanoid London
Develops and maintains embedded firmware for robot end effectors and human-worn operator devices, sitting at the hardware-software boundary. Involves bringing up new PCB revisions, writing sensor drivers, integrating compute platforms like ESP32 and NVIDIA Jetson, and building OTA pipelines in a fast-paced robotics environment.
Wayve London
Lead a London-based team building the on-vehicle experiment platform that lets researchers deploy driving models to vehicles, run experiments and collect training data. Own people, roadmap and OEM partnerships while staying hands-on with embedded Linux, C++/Python and over-the-air deployment across vehicle fleets.
Wayve London
Lead the technical direction for an offline 3D reconstruction system that turns raw vehicle sensor data into quality-assessed 3D ground-truth geometry and ego motion. The role spans SLAM, lidar point-cloud registration, state estimation and sensor fusion, with responsibility for architecture, roadmaps, prototypes and cross-functional alignment across perception, calibration and validation teams.
Humanoid London
Owns end-to-end planning and execution of a portfolio of software and hardware projects within a humanoid robot new product introduction program, accountable for scope, schedule, cost and process. Coordinates deeply cross-functional teams across Systems, AI/ML, Firmware, Mechanical, Supply Chain and more, spanning sites in Boston, Vancouver and San Diego. Requires strong technical judgment, systems thinking and the ability to clear blockers and manage risks across distributed teams.
Wayve London
Lead a small team iterating on Wayve's end-to-end L2 driving model, balancing hands-on Python coding and experiments with directing priorities. You diagnose on-road issues, root-cause them, and drive fixes through data recipes, model architecture and evaluation, working across teams on model and vehicle interface problems.
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
You'll develop embedded software connecting an AI Driver to vehicle steering, braking and propulsion, working in MATLAB/Simulink on flashing, calibration and drive-by-wire interfaces. The role spans bench and in-vehicle testing, CAN/CAN-FD diagnostics, OTA updates and ADAS/HMI integration, collaborating closely with OEMs, suppliers and controls engineers.
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
Hands-on role optimising inference for edge accelerators and GPUs so large transformer models run efficiently on low-cost, low-power in-vehicle compute. You'll profile model graphs, compilers, runtimes and kernels, implement optimisations like fusion, scheduling and custom kernels, and build benchmarking and regression tests across NVIDIA Orin/Thor and Qualcomm targets, working closely with model, platform and deployment teams.
Wayve London
Builds and evolves the data pipeline and orchestration platform behind Wayve's autonomous driving data, revamping the existing Harness system and creating a new DAG-based workflow platform. Works on Kubernetes-deployed, distributed infrastructure handling hundreds of parallel pipeline steps, batch inference and evaluation workflows, closely with partner teams.
Wayve London
Builds and ships computer vision and 3D perception models for driver assistance, working across the full ML lifecycle from data generation to training, evaluation and iteration. The role spans latency-constrained on-car perception and large-scale offline work using lidar, maps and extra compute to power an auto-labelling data flywheel.
Wayve London
Bridges Wayve's core AI Driver architecture and OEM/Tier 1 vehicle platforms, defining software–vehicle interfaces across sensors, signals, middleware and ECUs. Owns interface contracts, ownership boundaries and validation-ready requirements, representing Wayve in partner technical discussions.
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.
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
Builds and maintains core C++/Python components that interface self-driving models with vehicle and embedded systems, plus infrastructure to run and test autonomy capabilities. Owns reliability and performance of Linux-based systems and specialises in one domain such as localisation/mapping, filtering/diagnostics or control/inference, in a team scaling to 5-6 engineers.
