151 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
Builds reusable Python libraries and platform tooling for multimodal data loading, distributed training, checkpointing and observability, supporting ML teams running models across thousands of GPUs. Partners closely with researchers to turn complex workflows into stable, scalable software, leading projects from discovery to delivery. A platform engineering role rather than ML modelling.
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
Build and operate backend services, APIs and data-processing workflows for a platform that deploys, runs and evaluates ML models over petabytes of driving data on large GPU fleets. Work spans model-execution workflows, versioned outputs, annotation and dataset-catalogue features, plus reliability, scheduling and observability improvements, alongside model engineering and infrastructure teams.
Wayve London
Builds and operates the CI/CD infrastructure underpinning Wayve's software development lifecycle, maintaining pipelines, build agents, runners and artifact storage. Works with engineering teams to cut build and test feedback times, improving caching, dependency management and reproducible builds. Also develops self-service tooling and automation for pipeline management.
Wayve London
Develops next-generation generative world models and planners such as GAIA, using diffusion, transformer and hybrid architectures to simulate complex driving environments for training, testing and deployment. The role spans ML research, multi-modal modelling and real-world deployment, with a focus on inference efficiency, closed-loop agent interaction and sim-to-real evaluation.
Wayve London
Builds virtual vehicle models using physics-based and data-driven techniques, validating them against on-road data and converting them into efficient software components. Runs track and partner experiments to improve model accuracy, and integrates models into simulation, hardware-in-the-loop and correlation pipelines across robotics, simulation and product teams.
Wayve London
Owns end-to-end supply chain execution across assigned programmes and product builds, covering prototype development, new product introduction and fleet launches. Acts as the primary supply chain lead and strategic liaison between hardware engineering and procurement, managing BOM translation, long-lead items, upfitter and partner relationships, and KPI reporting. Combines strategic programme ownership with hands-on execution in a fast-moving hardware environment.
Wayve London
Owns validation strategy for ADAS and L2 autonomy functions, translating product, safety and regulatory requirements into test scenarios, metrics, coverage and acceptance criteria. Works hands-on with Python evaluation pipelines, simulation and SQL data analysis, and can be hired as a senior individual contributor or as a manager leading validation delivery.
Wayve London
Develops, tunes and validates trajectory-generation and motion-control algorithms that translate the AI Driver's outputs into safe, smooth vehicle motion across ADAS and AV platforms. Writes latency-sensitive, production-quality C++ control software and uses simulation, closed-loop evaluation and on-road testing to characterise controller behaviour and diagnose issues.
Wayve London
Owns the technical architecture and roadmap for LiDAR and cross-sensor 3D sensing, leading development of target-based and targetless calibration, LiDAR-to-camera registration, temporal alignment and motion compensation using LiDAR odometry, nonlinear least-squares optimisation and factor graphs. A senior individual-contributor role combining algorithm development, evaluation methodology and productionisation, with technical leadership and mentorship across the 3D sensing stack.
Wayve London
Lead functional safety activities for an end-to-end AI automated driving system, building Item Definitions, running HARA/FMEA/FTA analyses, and shaping safety concepts and architectures across vehicle platforms and third-party systems. Define verification and validation, including vehicle-level testing, and construct structured safety cases with claims, arguments and evidence for certification.
