Staff Robotics Engineer, AV Core
Wayve · 🇬🇧 London, United Kingdom
Sponsorship Verification Proof
Employer is on the UK Home Office register of licensed sponsors.
UK Home Office Register of Licensed Sponsors (Skilled Worker route): listed as 'Wayve Technologies Ltd', London — Skilled Worker; Worker (A rating)
An official government register match confirms the employer holds an active sponsor licence in this country. It does not guarantee that every individual role meets minimum salary or skill thresholds — always confirm sponsorship eligibility with the recruiter.
The job posting also states: “✈️ Relocation support and visa sponsorship where applicable”
- Verification category
- Employer on official sponsor register
- Role category
- Backend
- Last verified
- 2026-10-25
- First indexed
- 2026-10-24
- Posted date
- 2026-10-06
- ATS / Feed source
- Ashby job board
Role Description (Excerpt)
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. 🛠️ 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. 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. 🧠 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…
Excerpt only — read the full requirements and apply directly on Wayve's career page. We do not process applications.