Control Engineer, Robotics

Control Engineer, Robotics

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Wayve

At a Glance

  • Tasks: Enhance trajectory control systems 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: Enjoy a supportive culture with daily lunches and opportunities for personal growth.
  • Why this job: Make a significant impact in a fast-paced environment with innovative technology.
  • Qualifications: Strong knowledge of control theory, C++ and Python skills, and experience in 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 employer: Wayve

Wayve is an exceptional employer that offers a unique opportunity to be part of a mission-driven organisation at the forefront of autonomous driving technology. With a dynamic and fast-paced work environment in London, employees benefit from competitive compensation, a culture of respect and collaboration, and numerous perks such as an onsite chef, private health insurance, and a hybrid working policy that promotes work-life balance. Join us to grow alongside some of the brightest minds in the industry while making a significant impact on the future of vehicle control systems.

Wayve

Contact Details:

Wayve Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Control Engineer, Robotics

Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with Wayve employees on LinkedIn. A friendly chat can sometimes lead to opportunities that aren’t even advertised!

Tip Number 2

Show off your skills! If you’ve got projects or experiences that highlight your control theory and programming prowess, don’t hesitate to share them. A personal website or GitHub can really make you stand out.

Tip Number 3

Prepare for the interview by diving deep into Wayve’s tech and culture. Understand their trajectory controller and think about how your experience aligns with their goals. We love seeing candidates who are genuinely interested!

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re keen on being part of our mission-driven team at Wayve.

We think you need these skills to ace Control Engineer, Robotics

Control Theory
Optimisation
Model-Predictive Control (MPC)
State Estimation
Numerical Methods
C++
Python

Some tips for your application 🫡

Show Off Your Skills:Make sure to highlight your strong theoretical knowledge of control theory and practical experience with control systems. We want to see how your skills align with the challenges we face at Wayve!

Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect how your experience relates to the specific role of Control Engineer in Robotics. We love seeing candidates who take the time to connect their background to our mission.

Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate straightforward communication that gets right to the heart of your qualifications and enthusiasm for the role.

Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!

How to prepare for a job interview at Wayve

Know Your Control Theory

Brush up on your theoretical knowledge of control theory, optimisation, and model-predictive control. Be ready to discuss how these concepts apply to real-world scenarios, especially in the context of vehicle control systems.

Showcase Your Practical Experience

Prepare examples from your past work where you developed and tuned control systems. Highlight any challenges you faced and how you overcame them, particularly in simulation and real-world applications.

Demonstrate Your Coding Skills

Since strong C++ and Python skills are essential, be prepared to discuss your experience with these languages. You might even want to bring along a project or two that showcases your coding prowess in developing real-time controllers.

Understand the Company Culture

Familiarise yourself with Wayve's mission and values. They value a respectful and ego-free culture, so be ready to discuss how you can contribute to this environment and work collaboratively with the team.