Senior Forensics Engineer, Wayve

• 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
• 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
• We're looking for someone curious, pragmatic, and system-minded: a broad thinker who is comfortable operating with limited information, thrives outside their comfort zone, and lets facts and data drive their conclusions
• Just as important is the ability to communicate clearly and build strong working relationships across teams, bringing people with you as you work towards an answer

Desirable

• As an Autonomous Driving Forensics Engineer in our Detectives team, part of the Model Integration and Release group, you will investigate issues that arise across the full Wayve AV stack
• Working closely with teams across the business, you will identify root causes efficiently, test solutions thoroughly, and provide actionable insight that improves overall AV performance
• Your role sits at the heart of performance improvement, identifying systemic issues within the full end-to-end stack of our AV vehicles
• To do so you will work cross-functionally, interacting with all areas of the business, from hardware and software engineers to roboticists, platform developers, model development and operational teams
• Issue investigation & root cause analysis: Triage on-road data and conduct deep dives into recurring issues, identifying patterns across the fleet to pinpoint root causes across the robot, model, or software
• Data analysis & communication: Analyse data and communicate insights clearly, using dashboards and/or visualisations to make complex issues easy for others to understand and act on
• Cross-functional collaboration: Work closely with engineering, model development, operations, and safety teams, including taking rides in the vehicles, to understand issues and partner with system owners through to a resolution
• Process & automation: Develop automated workflows and investigation playbooks that improve turnaround time and enable faster testing cycles
• Simulation & testing: Leverage simulation and other offline tools to reproduce and debug issues, minimising the need for fleet resources
• Breadth of work: Provide investigative and systems engineering support across a broad and evolving range of problems, from new vehicle platforms to emerging programmes and release testing, as the technology and fleet grow
• Incident response: Investigate on-road incidents to establish what happened and why, feeding lessons back to the relevant teams and strengthening our wider safety culture