Forensics Engineer

Join Wayve, a pioneering company in the autonomous driving industry. As an Autonomous Driving Forensics Engineer, you will investigate issues across the full AV stack, identify root causes, test solutions, and provide actionable insights to improve overall AV performance. You will work cross-functionally with various teams, analyze data, communicate insights, and develop automated workflows. This role offers a competitive compensation package, private healthcare, paid time off, mental health resources, and opportunities for learning and development.

• Investigate issues across the full Wayve AV stack, identify root causes, and test solutions.
• Collaborate cross-functionally with engineering, model development, operations, and safety teams to resolve issues.
• Develop automated workflows and investigation playbooks to improve turnaround time and enable faster testing cycles.

• 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
• 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
• 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
• 3+ years working with complex systems for robotics, autonomous vehicles, or comparable engineered systems
• A safety-conscious mindset, alert to when an issue carries safety implications and comfortable raising it
• 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
• Practical experience applying and evaluating machine learning models
• Experience in the automotive, robotics, or AI industries
• Experience working with safety-critical systems
• 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