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.  Join our world-class team as we tackle today’s most complex challenges and 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.   Make Wayve the experience that defines your career!  

The Role

• 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
• 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

About you

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 productionisng 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 dynamic
• 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.

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.

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.  

For more information visit Careers 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.

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