Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world‑class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. The Evaluation Algorithms team is responsible for building the algorithms & tooling required to comprehensively evaluate our autonomy system’s performance across all development stages. In this role, you will work closely with the systems & safety teams, responsible for defining the requirements & evaluation criteria, and simulation teams to leverage Waabi World, our highly realistic closed-loop simulation engine built with the latest in generative AI technologies to deliver the evaluation capabilities needed to support the safe development of the next generation of autonomous vehicles Develop the tooling, infrastructure, and pipelines to support complex statistical analyses of driving performance scale. Implement metrics and tags to provide a holistic understanding of model performance and enable the discovery of interesting scenarios for training and evaluation. Develop and maintain a high availability query service to enable low‑latency analysis and curation over large volumes of metric and tag data. Champion engineering excellence, ensuring high‑quality, well structured and tested code. Assist in project roadmap planning, prioritisation, and delivery. MS/Bachelors degree with 2+ years of industry experience in Computer Science, Machine Learning and/or similar technical field(s) of study. Proficient in Python programming and strong software engineering fundamentals with real‑world experience writing high quality, well‑structured, and well‑tested code.



Open‑minded and collaborative team player with the willingness to help others. Bonus Points Experience in data processing pipelines, ETL pipelines, distributed computing. Experience in building highly reliable and scalable web services. Understanding of cloud job orchestration, monitoring, and instrumentation best‑practices. Experience in evaluating complex ML models or self‑driving software stacks. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Competitive compensation and equity awards. Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full‑time employees only). Unlimited Vacation. Flexible schedule and Work from Home support. Daily drinks, snacks and catered meals (when in office). Regularly scheduled team building activities and social events both on‑site, off‑site & virtually. Waabi is a technology start‑up building technologies to transform the way the world moves. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. If you would like more information about how your data is processed, please contact us. #

📌 Senior Software Engineer, Evaluation Infrastructure (Toronto)
🏢 Waabi
📍 Toronto