Engineering Manager - Autonomous Driving Forensics

Engineering Manager - Autonomous Driving Forensics Join to apply for the

Engineering Manager - Autonomous Driving Forensics

role at

Treecode .At Wayve, we're committed to creating a diverse, fair, and respectful culture that is inclusive of everyone based on their unique skills and perspectives, regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.About Us

Not sure what skills you will need for this opportunity Simply read the full description below to get a complete picture of candidate requirements.Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.At Wayve, big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.The RoleAs the

Engineering Manager - Autonomous Driving Forensics Engineer , you will lead a cross-functional team focused on identifying and resolving systemic issues in autonomous vehicle (AV) performance. Leveraging your expertise in robotics and AI, you will provide actionable insights that drive improvements in our end-to-end AV stack, empowering development teams to deliver world-class performance.You will work closely with software engineers, roboticists, platform developers, and operational teams to investigate AV behaviour in real-world and simulated environments. Your leadership will guide the development of innovative solutions, ensuring issues are resolved efficiently and effectively.Key ResponsibilitiesLead cross-functional teams to identify, analyse, and resolve complex performance issues in AV systems.Apply your robotics and AI expertise to investigate systemic issues across the AV stack.Design and oversee experiments to test hypotheses and improve system performance.Leverage video, simulation, and telemetry data to identify trends and root causes.Communicate findings and strategies to technical and non-technical stakeholders.Drive statistical rigour and best practices in performance analysis and experimentation.Collaborate with developers to implement solutions and track performance improvements.About YouEssential:5+ years of experience working with complex robotics or AI systems, including leadership roles.Proven ability to design experiments for real-world robotic systems and analyse their results.Exceptional problem-solving and critical thinking skills to address complex technical challenges.Strong communication skills for engaging with both technical and non-technical audiences.Experience with statistical scripting and data analysis tools (e.g., Python with pandas, sklearn, scipy).Proficiency in remote Linux environments and hands-on debugging.Demonstrated ability to influence organisational direction through actionable insights.Desirable:Hands-on experience with machine learning frameworks (e.g., PyTorch).Passion for transitioning research ideas into production-grade solutions.Strong advocate for statistical rigour and experimental best practices.Experience in fast-paced tech environments or startups.Expertise in Python and data science workflows.This is a full-time role based in our office in Sunnyvale or 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, with time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.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.

#J-18808-Ljbffr