Staff Robotics Engineer — Autonomy & Safety

Wayve; City Of London; Hybrid; GBP 120,000 - 180,000; Full time

Job summary

Wayve is building the leading AI platform for autonomous driving. The Core Model Safety team designs fault detection and fallback strategies to ensure safe driverless operation, from strategy through deployment on the car, while collaborating with ML, inference optimisation, and software engineering teams.

You will lead integration into the shared driving stack, mentor teams, and drive robustness with evidence-based decisions, contributing to Wayve's mission to enable scalable, safe autonomy

Qualifications

• Proficient in developing, implementing, and troubleshooting robotics solutions.
• 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.
• Experience deploying and maintaining fleets of robots or vehicles at scale.

Responsibilities

• 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.

Skills

Robotics development

Technical leadership

Python

C++

Job description

Wayve is building the leading AI platform for autonomous driving. The Core Model Safety team designs fault detection and fallback strategies to ensure safe driverless operation, from strategy through deployment on the car, while collaborating with ML, inference optimisation, and software engineering teams.

You will lead integration into the shared driving stack, mentor teams, and drive robustness with evidence-based decisions, contributing to Wayve's mission to enable scalable, safe autonomy