System Test Automation Engineer
Build robust, reusable automation for system functionality tests in Wayve's embedded software stack.

London, United Kingdom · Founded 2017 · 51-200 staff
Wayve is a company pioneering automated driving technology using advanced Embodied AI. They are focused on leading the development of autonomous vehicle systems that represent a new era in automated driving capabilities.
Roles based in: Leonberg, London, Sunnyvale
Builds in: Autonomous Driving · AI · robotics · automotive · ADAS
Seniority: 7 Mid-level · 9 Senior · 8 Staff · 6 Lead
Hiring engineering roles here since November 2026
Curated from live Wayve postings. Click any role for the full brief.
Build robust, reusable automation for system functionality tests in Wayve's embedded software stack.
Lead and develop the Compute and Data Platform team building large-scale multi-cloud AI infrastructure at Wayve.
Lead and develop engineers to scale Wayve's embodied AI platform across new vehicle variants and OEM programs.
Lead the Experiment Platform team to build and scale the on-vehicle software for Wayve's AI Driver.
Lead the technical direction for Wayve's petabyte-scale storage platform managing driving data.
Develop embedded software for Wayve's drive-by-wire system to enable safe, embodied AI in vehicles.
Define and evolve the technical architecture for Wayve’s LiDAR and cross-sensor 3D sensing capabilities.
Define and evolve the technical architecture for Wayve's onboard localization capability on real-time vehicle platforms.
Own the technical vision for Wayve's Data Enrichment Platform processing petabytes of driving data on large GPU fleets.
Build and maintain core C++/Python software components for Wayve's embodied intelligence on vehicle platforms.
Build and scale next-generation world model architectures like GAIA for autonomous driving at Wayve.
Develop validation strategies and test systems for Wayve's ADAS and L2 autonomy functions in London.
Execute software bring-up and validation of AI stack on customer hardware platforms for Wayve's autonomous driving technology.
Build and improve scalable data pipelines for autonomous driving model development and ML workflows at Wayve.
Lead large-scale data enrichment and model safety for Wayve's autonomous driving core using Python and PyTorch.
Set technical strategy for fault detection and fallback systems for Wayve's autonomous driving core.
Own and evolve the autonomy performance operating system for Wayve's Robotaxi deployment.
Design and operate petabyte-scale batch and streaming pipelines for Wayve's autonomous driving data.
Define and manage technical architecture for customer vehicle integrations using Wayve's AI Driver.
Develop next-gen generative world-models and planners for Wayve's autonomous driving simulation ecosystem.
Own the architecture for Wayve's Remote Assistance system bridging vehicle autonomy and human operators.
Build and operate cloud infrastructure and automation systems powering Wayve's software development on Azure.
Build and improve ADAS perception and intelligence models for real-world driving at Wayve.
Design and operate shared platforms for language models and AI agents using Kubernetes and cloud infrastructure.
Improve reliability of large-scale AI infrastructure by operating Kubernetes and GPU platforms at Wayve.
Ensure reliability and scalability of Wayve's autonomous vehicle operations by building robust systems.
Build and operate CI/CD infrastructure and tooling to support Wayve's software development lifecycle.
Design and operate backend services for Wayve's Data Enrichment Platform processing petabytes of driving data.
Lead and develop the Runtime Platform team building embodied AI for autonomous vehicles in London.
Design and evolve scalable data pipeline and orchestration infrastructure for Wayve's autonomous driving platform.
Build modular AI libraries and platforms to accelerate model training and deployment for autonomous driving at Wayve.
Build and operate Wayve's Data Transfer Hub, a mission-critical infrastructure for petabytes of sensor data.
Build and operate geospatial foundations for Wayve's AI driver using Python, Typescript, and cloud infrastructure.
Lead security threat analysis and risk assessment for Wayve's autonomous driving software in Germany.
Design and build Python services to orchestrate Wayve's end-to-end AI model release workflow on Azure and Kubernetes.
Build robust, reusable automation for system functionality tests in Wayve's embedded software stack.
Develop shared runtime software and frameworks for Wayve's Robot Software stack on vehicle platforms.
Lead a team to architect synthetic data pipelines and world models for Wayve's autonomous driving research.