Robotics Jobs

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

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

Lead large-scale training and post-training of Gaia, Wayve's world model that predicts future driving video frames and runs closed-loop with the driving stack. Own model architecture and training-strategy decisions, push autoregressive generation toward longer stable rollouts, and make the model deployment-ready. Work across Research, Applications, Core Simulation Engineering and Cloud/Infrastructure, mentoring and setting technical direction.

Wayve · London

Owns shared onboard runtime foundations for autonomous vehicles: application frameworks, communication middleware, lifecycle management, health monitoring and observability. Day to day involves C++ development, end-to-end latency and performance profiling across OS scheduling, memory hierarchy and thread synchronisation, plus porting the stack to new operating systems and compute platforms.

Wayve · London

You'll design, build and operate shared infrastructure for model access, agent runtimes and observability, taking projects from problem definition through technical design, deployment and ongoing operation. Working closely with security, IT and engineering, you'll create governed access layers, reusable tooling and standards so teams can run AI agents in production without one-off infrastructure.

Wayve · London

Develops and maintains production-quality components in Wayve's shared simulation system, working hands-on in a modern C++ and Python codebase. Integrates driving-stack components, simulated robot systems and vehicle-platform capabilities, initially focused on high-scale open-loop evaluation. Investigates on-road versus simulated behaviour differences and improves reproducibility, observability and simulator performance.

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.

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.

Wayve · London

Builds and leads the technical programme management function for Wayve's AI Platform organisation, owning planning, prioritisation and execution across data and compute infrastructure, developer tooling, training technology and inference optimisation. Coaches a small TPM team, manages cross-team dependencies with ML, research, embedded and vendor partners, and drives measurable gains in developer velocity, compute efficiency and model performance.