Staff Robotics Engineer, AV Core

The Core Model Safety team builds foundational capabilities for assisted and automated driving, including collision avoidance, model understanding, and robustness under failure. It's a small, high-impact team with strong ownership, access to large-scale training and fleet data, and close partners across research, simulation, evaluation, and applied engineering. The work here is central to making driverless autonomy possible: detecting and preventing collisions, developing emergency-driving behaviours from limited data, and making sure the vehicle responds safely when something goes wrong.

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

Requirements

Proficient in developing, implementing, and troubleshooting robotics solutions, backed by practical, real-world experience; 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

Nice to have

Bonus if you've built tooling to triage and debug robotic systems; Bonus if you've set up cloud-based monitoring for large-scale fleets; Familiarity with embedded or real-time systems is a plus; Hands-on machine learning and inference optimisation experience is a plus

Benefits

Salaries benchmarked against the market annually; Meaningful equity; 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