ADAS Computer Vision & 3D Perception Engineer

EngineersOfAI

Greater London

Vor Ort

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Jobbeschreibung

About us

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.

Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.

In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.

At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.

Make Wayve the experience that defines your career!

About our Engineering Teams

Wayve’s ADAS engineering teams build the perception and intelligence that power driver assistance in real‑world driving. We work end‑to‑end: from creating high‑quality training data, to developing and evaluating CV/3D perception models, to iterating quickly based on performance gaps. The team mixes "online" (on‑car, latency/compute constrained) and "offline" (heavier, large‑scale data generation) work, with a strong focus on measurable impact and shipping.

Your day‑to‑day

You’ll train, debug, and improve computer vision and 3D perception models, and iterate based on clear evaluation signals. You’ll work across the full ML lifecycle (data → training → evaluation → iteration), partnering with the team to decide what to tackle next based on where the system is underperforming. A meaningful portion of the role involves building scalable data pipelines (including auto‑labelling / pseudo‑labelling) to accelerate model development.

What you’ll be working on

You’ll help deliver core ADAS perception capabilities such as detection, classification, and instance segmentation, with domain focus across lanes, objects, traffic signs, and traffic lights. You’ll contribute to offline pipelines like tracking + 3D reconstruction that let us back‑propagate "known good" labels through time and generate large labelled datasets. Depending on your strengths, you may lean more into online models that must run fast in‑car, or offline models that improve data quality and coverage at scale.

Who you should apply if

You’ve built and shipped CV‑focused deep learning systems and can demonstrate strong applied ML engineering (not research‑only). You have experience with 3D perception concepts or pipelines (e.g., LiDAR, multi‑view geometry, tracking, 3D reconstruction) and you’re comfortable owning work end‑to‑end, including evaluation and dataset generation. You enjoy pragmatic problem‑solving, working under real product constraints, and you’re excited to improve real‑world driving performance through better perception.

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.

Hol dir deinen kostenlosen, vertraulichen Lebenslauf-Check.

oder ziehe deine Datei hierhin.

Similar jobs

Ähnliche Jobs, die dir auch gefallen könnten

Machine Learning Engineer, ADAS
Machine Learning Engineer, ADAS

EngineersOfAI • Greater London

Vor Ort
Confidential
Software Engineer, Data Enrichment
Software Engineer, Data Enrichment

Wayve • Greater London

Hybrid
GBP 90.000 - 150.000
Equity
Relocation support
Hybrid working
+4
Technical Lead Manager, Synthetic Data
Technical Lead Manager, Synthetic Data

Wayve • Greater London

Hybrid
GBP 125.000 - 180.000
Equity
Relocation support
Hybrid working
+1
Software Engineer, Data Enrichment Platform
Software Engineer, Data Enrichment Platform

Wayve • Greater London

Hybrid
GBP 85.000 - 130.000
Equity
Relocation support
Visa sponsorship
+6
Senior Data Scientist
Senior Data Scientist

Wayve • Greater London

Hybrid
GBP 70.000 - 95.000
Equity
Relocation assistance
Hybrid schedule
+3
Software Engineer, AI Libraries
Software Engineer, AI Libraries

Wayve • Greater London

Hybrid
GBP 120.000 - 180.000
Competitive equity program
Hybrid working model
Learning & development budget
+2
Staff Robotics Engineer, AV Core
Staff Robotics Engineer, AV Core

Wayve • Greater London

Vor Ort
GBP 120.000 - 190.000
Staff Robotics Engineer, 3D Sensing
Staff Robotics Engineer, 3D Sensing

Wayve • Greater London

Vor Ort
GBP 111.000 - 155.000
Technical Product Manager, Development Vehicles
Technical Product Manager, Development Vehicles

Wayve • Greater London

Hybrid
GBP 90.000 - 130.000
Hybrid working
Equity
Relocation support
+2
Principle Engineer, 3D Reconstruction
Principle Engineer, 3D Reconstruction

Wayve • Greater London

Hybrid
GBP 110.000 - 170.000
Equity
Relocation support
Hybrid working
+3