At a Glance
- Tasks: Enhance trajectory controllers for autonomous vehicles and tackle real-world driving challenges.
- Company: Join Wayve, a mission-driven company shaping the future of autonomous driving.
- Benefits: Competitive pay, onsite chef, private health insurance, and flexible hybrid working.
- Other info: Dynamic work environment with opportunities for personal and professional growth.
- Why this job: Make a significant impact in a small, innovative team focused on cutting-edge technology.
- Qualifications: Strong knowledge of control theory, C++ and Python skills, and experience with real-world applications.
The predicted salary is between 60000 - 80000 £ per year.
Where you will have an impact:
- Improve Wayve's trajectory controller and its interaction with other parts of the AV stack, thus increasing overall driving performance.
- Expand the trajectory controller's operational domain to new vehicles and new driving conditions.
- Build out our performance evaluation pipeline for the trajectory controller.
Challenges you will own:
- Maintaining and expanding our custom MPC-based trajectory controller coupled with ML-based trajectory generation system.
- Building theoretical foundations for ML-coupled vehicle control systems.
- Implementing and testing vehicle control in complex scenarios such as highway or bad weather, and for future vehicle platforms that Wayve will build on.
- Bringing up simulation and evaluation systems to achieve optimality of the trajectory controller in the real world.
What you will bring to Wayve:
Essential:
- Strong theoretical knowledge of control theory, optimisation, model-predictive control, state estimation and numerical methods.
- Practical experience in developing and tuning control systems for real world applications, both in simulation and in reality.
- Experience producing and scaling systems including real-time controllers and monitoring their performance at scale.
- Strong C++ and Python skills.
Desirable:
- Experience with vehicle control or vehicle dynamics.
What we offer you:
- The chance to be part of a truly mission driven organisation and an opportunity to shape the future of autonomous driving.
- Competitive compensation and benefits.
- A dynamic and fast-paced work environment in which you will grow every day - learning on the job, from the brightest minds in our space, and with support for more formal learning opportunities too.
- A culture that is ego-free, respectful and welcoming (of you and your dog) - we even eat lunch together every day.
- Benefits such as an onsite chef, workplace nursery scheme, private health insurance, cycle scheme, therapy, yoga, two onsite bars, large social budgets.
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 also operate core working hours so you can be where you need to be for family and loved ones too. Teams determine the routines that work best for them.
Control Engineer, Robotics in London employer: Wayve
Wayve is an exceptional employer for Control Engineers, offering a unique opportunity to shape the future of autonomous driving in a dynamic and fast-paced environment. With a strong focus on employee growth, competitive benefits including an onsite chef and private health insurance, and a culture that values respect and collaboration, you will thrive while making a significant impact. Our hybrid working policy ensures a balance between innovation in the office and flexibility at home, making Wayve a truly rewarding place to work.
StudySmarter Expert Advice🤫
We think this is how you could land Control Engineer, Robotics in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to control systems and robotics. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to control theory and vehicle dynamics. Mock interviews with friends or mentors can help you feel more confident and ready to impress.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our mission-driven team at Wayve.
We think you need these skills to ace Control Engineer, Robotics in London
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for robotics and control systems shine through. We want to see that you’re genuinely excited about the role and how you can contribute to improving our trajectory controller.
Tailor Your CV:Make sure your CV highlights relevant experience in control theory and optimisation. We love seeing practical examples of your work, so don’t hold back on showcasing your achievements in developing and tuning control systems.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see how your skills align with what we’re looking for.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Wayve
✨Know Your Control Theory
Brush up on your control theory and optimisation knowledge before the interview. Be ready to discuss how you've applied model-predictive control in real-world scenarios, as this will show your theoretical understanding and practical experience.
✨Showcase Your Coding Skills
Since strong C++ and Python skills are essential, prepare to demonstrate your coding abilities. You might be asked to solve a problem or explain your previous projects, so have examples ready that highlight your technical prowess.
✨Prepare for Real-World Challenges
Think about complex scenarios you've faced in vehicle control or simulation. Be prepared to discuss how you tackled issues like bad weather or highway driving conditions, as this will showcase your problem-solving skills and adaptability.
✨Emphasise Team Collaboration
Wayve values a collaborative culture, so be ready to talk about your experiences working in teams. Share examples of how you've contributed to group projects, especially in fast-paced environments, to demonstrate your fit within their dynamic work culture.
