At a Glance
- Tasks: Join us in shaping the future of autonomous driving technology in Germany.
- Company: Wayve, a leader in AI for autonomous vehicles.
- Benefits: Competitive salary, equity options, hybrid working, and comprehensive health benefits.
- Other info: Dynamic team culture focused on innovation and inclusivity.
- Why this job: Make a real impact on cutting-edge technology that transforms mobility.
- Qualifications: Strong skills in C++ and Python, with experience in systems integration.
The predicted salary is between 63000 - 77000 £ per year.
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.
About our Application Engineering Team(s)
We're seeking an exceptional Control Engineer to join our Germany-based team within the Application Engineering org, focused on localising and advancing Wayve's autonomous driving technology for the German market. This is a unique opportunity to play a hands-on role in shaping our AV capabilities in Germany from the ground up.
Your day-to-day
You'll play a pivotal role in integrating, validating, and optimising our MPC-based trajectory controller and AI software stack on new vehicle platforms ensuring safe, reliable, and high-performance driving in diverse real-world conditions. This is a unique opportunity to work at the intersection of controls, systems integration, and applied machine learning, helping expand our AV capabilities across new operational domains while collaborating closely with robotics, ML, and vehicle engineering experts.
What you'll be working on:
- Integrate and validate Wayve's AI software stack and MPC-based trajectory controller on customer hardware and vehicle platforms.
- Maintain and enhance the controller (coupled with ML-driven trajectory generation) to improve performance, stability, and reliability across different vehicles and environments.
- Test and optimise system behaviour in challenging driving scenarios — from highways to urban settings and adverse weather conditions.
- Develop and refine simulation and evaluation pipelines to guarantee real-world optimality and control quality.
- Collaborate with cross-functional teams (Verification, Release, OEM partners) to diagnose and resolve integration and performance issues.
Experience productionising and scaling systems including real-time controllers and monitoring their performance at scale. Strong C++ and Python.
More about Wayve:
Wayve is building the leading AI platform for autonomous driving. 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.
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:
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.
A quick, honest note before you apply. Much of how we work is still being written, and if you join, you'll help write it. 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.
Controls Engineer (Remote) in London employer: wayve
Wayve is an exceptional employer, offering a dynamic and inclusive work culture that fosters innovation and collaboration. With a focus on employee growth, you will have the opportunity to work alongside talented AI engineers in a hybrid environment, contributing to groundbreaking advancements in autonomous driving while enjoying the vibrant atmosphere of London. Join us to make a meaningful impact in the field of AI and data science.
StudySmarter Expert Advice🤫
We think this is how you could land Controls Engineer (Remote) in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at wayve or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to wayve.
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We think you need these skills to ace Controls Engineer (Remote) in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at wayve.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at wayve and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at wayve
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If wayve uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.