# Staff Robotics Engineer, AV Core **Company**: Wayve **Location**: London **Work arrangement**: hybrid **Experience**: staff **Job type**: full-time **Category**: Engineering **Industry**: Automotive **Apply**: https://jobs.ashbyhq.com/wayve/a078b8c8-ac52-4e7a-916b-0d7724e6f0a9?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/job/staff-robotics-engineer-av-core-e015d891-75e/ ## Description We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. About our Core Model Safety Team The Core Model Safety team builds foundational capabilities for assisted and automated driving, including collision avoidance, model understanding, and robustness under failure. Your day-to-day - Set the technical strategy and roadmap for fault detection and fallback, including its behavioural scope, operating envelope, system interfaces, and measurable acceptance criteria - Design and train fault detection mechanisms using the methods best supported by evidence, to enable robust driverless operation - Collaborate across functions and expertise areas, including machine learning, inference optimisation, and software engineering - Lead integration into the shared driving stack, align technical decisions across teams, and raise the bar through architecture reviews, mentoring, and clear communication of risks, trade-offs, and evidence - Use your judgement and expertise to improve the overall robustness of the robot system, beyond just fault detection and fallback What you'll be working on: - Fault detection and fallback systems that let the vehicle respond safely when something goes wrong, from strategy through to deployment on the car - Collision avoidance, model understanding, and robustness under failure: the foundational capabilities this team owns for assisted and automated driving - Fault detection methods chosen on the strength of evidence, built to hold up under real driverless operation - Integration into the shared driving stack, working closely with machine learning, inference optimisation, and software engineering partners - Large-scale training and fleet data, with close partners in research, simulation, evaluation, and applied engineering You should apply if: - Proficient in developing, implementing, and troubleshooting robotics solutions, backed by practical, real-world experience - A track record of staff-level technical leadership: setting direction for ambiguous programmes, aligning multiple teams, and carrying work from research through production deployment - Strong technical judgement and communication, able to make safety-relevant trade-offs explicit and lead without relying on formal authority - Comfortable working in Python and C++ for robotics - Experience deploying and maintaining fleets of robots or vehicles at scale under real-world conditions - Bonus if you've built tooling to triage and debug robotic systems, or set up cloud-based monitoring for large-scale fleets - Familiarity with embedded or real-time systems, or hands-on machine learning and inference optimisation experience, is a plus Benefits: - Salaries benchmarked against the market annually - Meaningful equity, sharing in the ownership and long term success of Wayve - Relocation support and visa sponsorship where applicable - Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs - Learning and development budgets with support for training, conferences and growth - Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partner discounts and more For more fresh new jobs, check out [yubhub.co](https://yubhub.co/). ## Skills ### Required - Python - C++ - robotics - machine learning - inference optimisation - software engineering ### Nice to have - embedded systems - real-time systems - cloud-based monitoring --- Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/wayve/a078b8c8-ac52-4e7a-916b-0d7724e6f0a9?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)