Senior Robotics Safety Engineer (Fault Detection & Fallback Systems)

wayve • United Kingdom

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AI Summary

Lead the technical strategy for fault detection and fallback systems in autonomous driving, ensuring robust, real-world deployment of AI-driven vehicles. Design evidence-backed mechanisms for collision avoidance, model robustness, and emergency behaviors while collaborating across ML, engineering, and research teams. Drive system integration and improve overall vehicle safety through technical leadership and risk assessment.

Key Highlights

Set technical strategy and roadmap for fault detection and fallback systems in autonomous driving

Design and deploy evidence-backed fault detection mechanisms for real-world driverless operation

Collaborate across ML, inference optimization, and software engineering teams to integrate solutions into the shared driving stack

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Key Responsibilities

Define technical strategy and roadmap for fault detection and fallback systems, including behavioral scope, operating envelope, and measurable acceptance criteria

Design and train fault detection mechanisms using evidence-backed methods to ensure robust driverless operation

Collaborate with ML, inference optimization, and software engineering teams to integrate solutions into the shared driving stack

Lead architecture reviews, mentoring, and risk communication to improve overall system robustness beyond fault detection

Work with large-scale training and fleet data, leveraging research, simulation, and evaluation partners

Technical Skills Required

Python C++ Machine Learning

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Benefits & Perks

Market-benchmarked annual salaries

Meaningful equity and long-term ownership

Relocation support and visa sponsorship where applicable

Hybrid working with core hours and access to vehicle workshops/labs

Comprehensive benefits including health insurance, dental, parental leave, retirement, and wellbeing support

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Nice to Have

Experience deploying and maintaining fleets of robots/vehicles at scale

Tooling for triaging and debugging robotic systems

Cloud-based monitoring for large-scale fleets

Embedded or real-time systems experience

Hands-on machine learning and inference optimization

Job Description

Before the detail, here's the challenge you'd help us solve.We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.Here’s what this particular role covers.

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