Autonomy Data Analysis Engineer

responsibilities: Perform first-level analysis on real world run data Partner closely with Detective Engineers to learn and discover the root cause of an issue. Partner closely with Triage Engineers to develop automated solutions. Support the full issue lifecycle: identification, investigation, resolution, documentation, and reporting. Accurately add metadata to the on road interventions (i.e. Root Cause Labels, Jira Linking, Comments) Effectively use Wayve’s proprietary tooling. Investigate complex or ambiguous runs that require deeper analysis or resolution. Participate in regular standups to address emerging concerns, assign priorities, and adapt to process changes. Deliver actionable feedback on triage tooling and suggest improvements to enhance usability and speed. Contribute to process improvement and maintain a high standard of safety, efficiency, and rigor. Accurately validate Triage automation bots About you In order to set you up for success as an Autonomous Driving Data Specialist at Wayve, we’re looking for the following skills and experience. Essential Previous experience in ADAS, Autonomous Vehicles or Testing Passion for Quality and Safety-first mindset. Ability to learn and use a variety of internal tools and software platforms. Comfort with technical terminology related to ADAS systems and software stacks. Strong communication skills across cross-functional and time-zone-distributed teams. Analytical thinking, logical reasoning, and bias-free problem-solving. Detail-oriented approach with a focus on accuracy, even over extended sessions. Strong debugging, documentation, and investigation skills. Ability to work independently and as part of a collaborative team. Desirable Experience with issue tracking and configuration management (e.g., Jira, Confluence, Bitbucket). Familiarity with software development concepts: source control,

requirements analysis, build pipelines. Exposure to software release workflows and release testing practices. Basic experience with scripting (e.g., Bash, Python). SQL/data analysis proficiency for deeper log review and trend analysis. Experience with AV testing or robotics systems. This is a full-time role based in our office in Tokyo, Japan. 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. LI-LA1 Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know. 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. 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. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve For US candidates only, please visit E-Verify Notice and Participation and Right to Work 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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