Who are we?

Our team is the first in the world to use autonomous vehicles on public roads using end-to-end deep learning. With our multi-national world-class technical team, we’re building things differently. 

We don’t think it’s scalable to tell an algorithm how to drive through hand-coded rules and expensive HD maps. Instead, we believe that machine learning algorithms learning from experience and data will allow our driver to be more intelligent and capable of easily adapting to new environments.

Our aim is to be the future of self-driving cars: the first to deploy in 100 cities across the world bringing autonomy to everyone, everywhere.

The impact you will have

As a simulation software engineer, you’ll be contributing to a world class simulation platform supporting the development and evaluation of Wayve’s driving stack. Your focus will be on emulating the robot, from sensors to vehicle dynamics to ensure that our simulation results give as accurate a representation of the real world as possible.

Wayve’s approach to autonomous driving presents unique challenges for simulation. Our end to end driving stack requires a simulator that is both highly realistic and highly descriptive. Our approach to simulation brings together a combination of classical simulation techniques with cutting edge developments in machine learning to represent the real world in high fidelity at scale.

You’ll be working closely with our robotics, research, platform and data teams, as well as the rest of the Simulation team to model behaviour, timings and physics of physical systems and integrating these into the simulation stack.

Challenges you will own 

• Ensuring real world sensors are effectively emulated, including timing and noise
• Working with robotics to effectively model the vehicle dynamics of simulated agents
• Modelling the inputs/outputs and flow of information to and from the driving intelligence 
• Effectively integrating the components of the simulated robot into the simulation stack
• Maintaining effective metrics to ensure fidelity of the robot emulation

About you

Essential:

• Ability to model complex dynamic systems in software
• Experience working with robotics systems
• Knowledge of concurrent, parallel and distributed computing
• Experience in building simulation systems
• Experience with writing efficient and performant software systems
• Experience pybinding C++/Rust functions
• Knowledge of software engineering practices - what makes code reusable and extensible

Desirable:

• Experience with simulating / modelling of the dynamics of vehicles and robots.
• Experience with simulating / modelling of real sensors (lidar, radar, gnss, etc...), including modelling noise
• Some knowledge of control systems

Our offer:

• A position to shape the future of autonomous driving, and thus to tackle one of the biggest challenges of our time
• Immersion in a team of world-class researchers, engineers and entrepreneurs
• Competitive compensation and stock options
• On-site chef and bar, lots of fun socials, a workplace nursery scheme and more!
• Help relocating to London, with visa sponsorship
• Flexible working hours - we trust you to do your job well, at times that suit you and your team.

Wayve is built by people from all walks of life. We believe that it is our differences that make us stronger, and our unique perspectives and backgrounds that allow us to build something different. We are proud to be an equal opportunities workplace, where we don’t just embrace diversity but nurture it - so that we all thrive and grow.

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