Staff Fullstack Software Engineer, Data Visualisations
Hybrid
London, United Kingdom
Full Time
22-04-2025
Job Specifications
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.
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.
At Wayve, 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!
The role
As a Fullstack Engineer on our AV Insights squad, you’ll be at the forefront of building products that tell our story of our self-driving performance for both internal and external users. From talking to users to fully understand user needs, to building and validating new features, you’ll own every step of the process—ensuring each solution truly meets the problem it sets out to solve. While we move quickly, quality is never sacrificed, and you’ll be expected to deliver robust, high-performing fullstack applications that raise the bar.
You’ll design and implement scalable 3D and 2D visualizations in the browser (using libraries like Three.js and D3.js), and maintain and extend our custom data-streaming solutions to ensure smooth data flow into the client. You’ll also perform UX research (in collaboration with our UX team) to keep user feedback at the center of every decision.
Beyond the front-end, you’ll build and maintain product features in our NodeJs backend and Prisma managed DB, and work closely with engineering, simulation, and research teams to decide what cutting edge scientific visualisation tooling the team needs to build next.
In short, you’ll embrace new technologies, push the boundaries of AV performance visualization, and deliver meaningful impact that improves the experience for our users every step of the way.
Challenges you will own
Product Development – Collaborate with other engineers and product designers to solve our users’ problems. Make sure you understand the problem, build the right solution and validate that the solution solves the problem for our internal and external users.
Empower the team to build impactful web visualizations – Empower others to design and build impactful visualizations that will tell our story of our self-driving performance.
Take a large ownership over our web 2D and 3D visualizations – Build performant, easy-to-use and impactful real-time visualizations.
Prepare internal applications for external usage – Making sure we can deploy with confidence, to secure and stable applications that are loved by our customers.
About you
In order to set you up for success as a Fullstack Software Engineer at Wayve, we’re looking for the following skills and experience.
Essential
Good development skills in JavaScript, with knowledge in TypeScript
Experience with React (or similar front-end frameworks)
Previous experience building fullstack applications (backend + frontend)
Experience working with large-scale scientific data visualizations (in production)
Passionate about writing clean, robust and maintainable code
You have a track record of promoting engineering best practices in teams
You have excellent communication skills
Desirable
Performance optimization knowledge
3D rendering and graphics knowledge
Experience working with large datasets
Experience with cloud infrastructure (AWS, Azure and/or GCP)
Experience with Python or other Backend programming languages.
This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.
For more information visit Careers at Wayve.
To learn more about what drives us, visit Values at Wayve
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.
About the Company
We're Wayve, a leading developer of embodied intelligence for autonomous vehicles. We use AI to pioneer a next-generation approach to self-driving: AV2.0, which enables fleet operators to unlock the benefits of AV technology at scale. Founded in 2017, Wayve is made up of a diverse team of experts in machine learning and robotics. We were the first to deploy AVs on public roads with end-to-end deep learning. Today, our teams are based in London and California, and we're testing AVs in cities across the UK. Inspired by our ... Know more
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