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An established industry player is seeking a highly analytical ODD & Behavioural Competency Analyst to join their dynamic Data Management team. This role is pivotal in defining the data needed for autonomous driving systems, focusing on operational design domains and traffic patterns. You will leverage your extensive experience in systems engineering and data analysis to optimize data acquisition strategies and enhance model performance. With a commitment to innovation and a hybrid working policy, this opportunity offers the chance to make a significant impact in the field of AI technology for autonomous vehicles, all while working in a collaborative and inclusive environment.
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, and 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.
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.
Make Wayve the experience that defines your career!
As part of our mission to scale end-to-end embodied AI for autonomous driving, we are building a world-class Data Management team focused on unlocking high-quality, targeted data acquisition that drives model performance and predictability. We are looking for a highly analytical and systems-minded ODD & Behavioural Competency Analyst to lead the analysis of Operational Design Domains (ODDs), traffic patterns, and regulatory behaviours across our target markets.
This role will be critical in defining what data is needed, where, and how much, in order to build models with high Mean Time Between Failures (MTBF) and generalisation capabilities across varied geographies.
Key responsibilities
In order to set you up for success as a Data Analyst at Wayve, we’re looking for the following skills and experience.
MS or PhD in Physics, Statistics or Mathematics or related field with specialism in traffic system modelling, autonomous driving deployment, or urban mobility analysis.
This is a full-time role based in either 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.
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.
DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.
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