Wayve
From Wayve's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
Much of how we work is still being written, and if you join, you’ll help write it.
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 ADAS Team
Our ADAS team is bringing Wayve’s end-to-end AI driving to production-grade advanced driver assistance, working directly with our OEM partners. Recent partnership deals mean we’re now delivering ADAS into production programs, and it’s one of Wayve’s top priorities. The team is scaling quickly, and the next 18 months will be focused on getting it right for the first SOP. This is a chance to sit at the heart of the work that drives Wayve’s upcoming business.
🧠 Your day-to-day
Splitting your time roughly 60% management and 40% hands-on, leading a team of around seven ML engineers, made up of new hires and an existing sub-team
Acting as tech lead across multiple workstreams, setting the vision for how problems get solved, in what order, and with which dependencies
Reviewing and approving delivery plans for the tasks you own
Partnering with TPMs on planning and execution, and with Product to help shape priorities
Coaching and developing the ML engineers on your team, supporting their growth as the team scales
Taking our end-to-end AI driving approach into ADAS for a specific OEM production programme
Bringing ML models from proof of concept through to production on embedded automotive hardware
Optimising runtime and inference so the right model runs well on constrained hardware, rather than defaulting to the biggest one
Building and scaling a new team during a high-priority growth phase, with plenty of room to shape how it works
Working across system boundaries with software, embedded and product teams to deliver a coherent product
Expert background in developing ML, specifically computer vision
You are/have been a people manager and enjoy developing engineers
You’ve worked across systems with software developers and product teams, particularly on embedded software
You have hands-on experience with embedded runtime and inference optimisation, and make pragmatic trade-offs on model size and performance
You communicate clearly and thoughtfully with colleagues across sites and cultures
You stay steady and keep your team moving when requirements are unclear or change often
🌱 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.
🚗 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.
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.
✏️ Recruiter: please update this section for the specific role before publishing.
Initial call / recruiter screen (30 mins)
Competency Interview (Technical Leadership & System Design; 2 hours)
Deep Dive (On-site visit in Herzilya; 1 hour)
Final interview: mission & values alignment (1 hour)
We’ll always explain the format and work around your availability.
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. https://wayve.ai/careers/ To learn more about what drives us, visit Values at Wayve https://wayve.ai/careers/
DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.
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