Staff Robotics Engineer, AV Core

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

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 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

Not ticking every box? That's totally okay! If you're passionate about autonomy and keen to learn, we encourage you to apply even if you don't meet every requirement.

More about Wayve:

Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines.

Our ambition is to make autonomy universal. Wayve's mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility.

How we work — Locations & Flexible Working:

Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives.

The Interview Process:

Our process is clear and respectful of your time:

• Initial call / recruiter screen (30 mins)
• Hiring manager interview (30 mins)
• Deep-dive technical interviews ( Tech Leadership, Domain, Programming; 3 hours)
• Final interview: mission & values alignment (1 hour)

We'll always explain the format and work around your availability.

What's in it for you (Location dependent):

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

A quick, honest note before you apply.

Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.

If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.

For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve