Who we are

We’re building artificial intelligence capable of complex driving using end-to-end deep learning; one which can scale across diverse urban environments. Wayve is building a full driving software system which is data-driven at every layer, learning to drive. Our unique end-to-end machine learning approach learns to drive in complex, never-seen-before urban environments. We learn to drive with computer vision by both observing human driving, and by using reinforcement learning.

This is one of the world’s hardest and most impactful problems to solve. Which is why we’re building a diverse, world-class team of people who are motivated by the opportunity to work with brilliant people on challenging problems that leave a positive impact on society.

Impact expected

• Translate strategy around expansion of operational design domain into requirements for vehicle dynamics modelling.
• Build and validate discrete-time models of our vehicles for use in offline simulation and repro tools.
• Find the right tradeoff between accuracy and performance for models used in our model-based trajectory controller, working with control engineers to get a clear picture of  the requirements.
• Provide the evidence and support decision making around tradeoffs regarding accuracy and computational resource requirements.

Challenges you will own

• Own the roadmap for improvements to our vehicle dynamics models and ensure they continue to be aligned with our product roadmap. 
• Driving reproducibility between offline simulation / repro tools from the vehicle model perspective, and communicating what is required to close the gap.
• Taking responsibility for writing and communicating requirements on vehicle platforms to be able to build sufficiently accurate models of the dynamics.

What we are looking for in our candidate

Essential 

• Experience developing high-fidelity simulation models of passenger and commercial road vehicles across a wide range of operating environments.
• Experience of deriving approximate models suitable for real-time control and/or estimation on embedded platforms by trading off fidelity and performance.
• Data-driven approaches (for example: machine learning / system identification) for modelling systems where the underlying physical parameters are not known.
• Strong in at least one of C++, Python, MATLAB.

Desirable 

• Strong Python and C++.

What we offer you

• Competitive compensation with salary and equity

• Immersion in a team of world-class researchers, engineers and entrepreneurs

• A position to shape the future of autonomous driving and to tackle the biggest challenges of our time

• Benefits such as an onsite chef, workplace nursery scheme, private health insurance, therapy, daily yoga, onsite bar, large social budgets, unlimited L&D requests, enhanced parental leave, and more!

• This is a full-time role based in our office in King’s Cross. If your role is possible to do remotely we support flexible working, including working for up to 2 weeks from anywhere in the world. We trust you to know what works best for your team and projects and ask that you have a healthy presence that enables the right meetings to happen in person and strong relationships to be built.

Wayve is built on people and their differences gives us strength. We are proud to be an equal opportunities workplace and encourage people from all walks of life to join our journey, growing and expanding with us. We don't just embrace diversity, we encourage it.

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