🕒 21 days ago
Diagnose and repair vehicle software and hardware issues, triage faults quickly, and support safe, reliable fleet operations while improving field engineering processes across teams.
Wayve jobs
Wayve is a leader in automated driving, utilizing advanced Embodied AI technology.
👥 501 - 1000 employees🏢 Computer Software🌍 United Kingdom🚩 Founded 2017💰 Funding: Secondary Market
171 open roles at Wayve
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🕒 21 days ago
Define architecture for large-scale autonomous-driving software, aligning AI, robotics, compute and vehicle systems while leading cross-team technical changes that support reliable deployment across platforms.
🕒 21 days ago
Own the day-to-day operations of the Leonberg office, coordinate workplace services and visitor experiences, support People team administration, and improve office processes and colleague experience.
ADAS Feature Engineer, Application Software
🕒 21 days ago
Wayve👥 501 - 1000 employees🏢 Computer Software
🕒 21 days ago
Develop C++ ADAS feature logic, validation tools, and vehicle behaviours, translating AI and vehicle data into robust, testable active-safety features through simulation, logs, and real-world testing.
🕒 23 days ago
Leads technical testing and demonstration programs for autonomous vehicles, translating strategy into safe field operations and connecting development teams with fleet teams through structured feedback and continuous improvement.
🕒 23 days ago
Lead complex vehicle software and hardware investigations, set technical priorities, and own operational improvements across fleet operations while serving as a senior escalation point and championing safety.
🕒 23 days ago
Lead a shift team of Vehicle Safety Officers, overseeing safe and efficient fleet operations, performance, customer coordination, incident response, training, reporting, and continuous improvement.
🕒 23 days ago
Own a substantial AI Driver product work package end to end, translating research progress and customer needs into roadmaps, aligning cross-functional teams, and driving measurable delivery.
🕒 23 days ago
Lead post-training and closed-loop development for Gaia, Wayve’s driving world model, improving long-horizon generation, model reliability, and downstream simulation impact through experimentation, data curation, and technical direction.
🕒 23 days ago
Lead the engineering organisation and strategy for a Level 4 Robotaxi, integrating AI, software, hardware, vehicle systems, safety and operations to deliver safe, reliable driverless deployment at scale.
Vehicle Performance Modelling Engineer, Robotics
🕒 23 days ago
Wayve👥 501 - 1000 employees🏢 Computer Software
🕒 23 days ago
Develop physics-based and data-driven vehicle models, validate them against real-world data, and integrate efficient modelling software into simulation and evaluation workflows for autonomous vehicles.
🕒 23 days ago
Set technical direction for fault detection and fallback in autonomous vehicles, developing safety mechanisms and integrating them into the driving stack from research through real-world fleet deployment.
🕒 23 days ago
Build and operate scalable data pipelines that turn real-world, synthetic, and partner datasets into reliable, model-ready data for autonomous driving development, evaluation, and production machine learning workflows.
🕒 23 days ago
Support customer vehicle integration and validation of autonomous driving technology, diagnosing system-level issues and coordinating solutions between customer engineering teams and internal software and vehicle teams.
🕒 23 days ago
Develop C++ application-layer ADAS features that translate AI outputs and vehicle data into safe, testable vehicle behaviour, using simulation, logs, and vehicle testing to validate performance.
🕒 23 days ago
Bring up and validate autonomous-driving software on automotive hardware, configuring embedded operating systems, integrating drivers and middleware, and automating testing with engineering and OEM partners.
🕒 23 days ago
Bring up and validate autonomous-driving software on customer hardware, configuring embedded operating systems and integrating platforms with test infrastructure in collaboration with verification teams and OEM partners.
Senior Software Engineer, Data - AI Portal
🕒 23 days ago
Wayve👥 501 - 1000 employees🏢 Computer Software
🕒 23 days ago
Build and operate Wayve’s Data Transfer Hub, designing reliable, observable pipelines that move large volumes of partner sensor data and support AI model training at scale.
🕒 23 days ago
Own defined areas of a driver-out Robotaxi system architecture, translating operational needs into implementable requirements and interfaces while supporting integration, verification, and technical alignment with OEMs and partners.
🕒 23 days ago
Defines how autonomous-driving software integrates with OEM and Tier 1 vehicle systems, translating customer needs into scalable architectures, clear interface specifications, and validation-ready requirements.
Machine Learning Engineering Manager, Application Software
🕒 23 days ago
Wayve👥 501 - 1000 employees🏢 Computer Software
🕒 23 days ago
Leads a US-based application engineering team developing and deploying autonomous driving capabilities, adapting Wayve’s AV technology to local roads while coordinating with global teams and OEM partners.
Senior Platform Engineer, Cloud Infrastructure
🕒 23 days ago
Wayve👥 501 - 1000 employees🏢 Computer Software
🕒 23 days ago
Build and operate secure, reliable cloud platforms for engineering teams, owning infrastructure automation, Kubernetes lifecycle, developer environments, observability, and improvements to platform governance and reliability.
Staff / Senior Machine Learning Engineer, Reinforcement Learning
🕒 24 days ago
Wayve👥 501 - 1000 employees🏢 Computer Software
🕒 24 days ago
Advance reinforcement learning for end-to-end autonomous driving, from identifying behavioral gaps and running large-scale experiments to evaluating and integrating reliable policy improvements into production models.
Staff / Senior Machine Learning Engineer, AV Core
🕒 24 days ago
Wayve👥 501 - 1000 employees🏢 Computer Software
🕒 24 days ago
Lead the development and deployment of machine learning models for emergency manoeuvre prediction and collision detection, taking safety capabilities from problem definition through evaluation, integration, and deployment evidence.
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