Autonomous Driving Forensics Engineer

In order to set you up for success as an Autonomous Driving Forensics Engineer at Wayve, we're looking for the following skills and experience.

3+ years working with complex systems for robotics, autonomous vehicles, or comparable engineered systems.

Excellent critical thinking and problem-solving skills to identify and resolve complex issues within robotics and AI systems.

A systems-thinking mindset, comfortable investigating across the full stack, spanning hardware, software, and models.

Prior experience designing real-world experiments to prove or disprove hypotheses.

Great communication skills, able to explain complex technical problems to both technical and non-technical stakeholders.

Experienced with writing Python, particularly for data analysis; confident in writing scripts for a wide variety of analytic use cases, leveraging AI tools to work more efficiently.

A track record of influencing team and company direction through your findings.

A safety-conscious mindset, alert to when an issue carries safety implications and comfortable raising it.

Practical experience applying and evaluating machine learning models.

Experience working with safety-critical systems.

Experience in the automotive, robotics, or AI industries.

A track record of promoting statistical rigour and experimental best practices in your prior roles.

Experience working in a fast-moving tech company or startup.

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. We operate core working hours so you can determine the schedule that works best for you and your team.