Safety Methodologies Internship/Co-op, Summer 2026

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. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai At the heart of our mission is an unwavering commitment to safety. We are seeking a curious and analytical Safety Methodologies Intern to support the development and implementation of the frameworks that underpin our driverless readiness decisions. This is a unique opportunity to gain hands-on experience in the autonomous vehicle industry, and you will be helping us quantitatively validate the safety of our autonomous trucking solution using our highly realistic simulator and real-world data. Application Instructions: - To be considered for an internship/co-op, please add your most up to date academic transcripts alongside your resume for further review. - The Summer Internship is expected to start May/June 2026 and continue on a full-time basis (40 hours/week) to August/September 2026. You will… - Support the debugging and optimization of data pipelines and automated assessment workflows used for safety validation. - Develop Python scripts and tools to calculate quantitative metrics and visualize complex data for engineering stakeholders. - Conduct literature reviews and research on emerging safety methods, industry standards, and human driving benchmarks to support the evolution of the safety case. - Assist in identifying safety gaps and verifying driving behaviors against established safety targets. - Collaborate with the team to define the specific scope of your project based on your unique skillset, whether that be focused on data analysis, safety evaluation pipelines, or safety research. Qualifications: - Currently pursuing a Bachelor’s, Master’s, or PhD in Computer Science, Robotics, Mathematics, Statistics, or a related field. - Strong scripting skills, particularly in Python, with experience in data manipulation libraries (e.g., Pandas, NumPy). - Ability to communicate complex concepts or data in a simple-yet-accurate manner. - Collaborative team player who works effectively across functional boundaries. - Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus/nice to have: - Previous internship or academic experience in robotics, automotive, or data science. - Experience with SQL or other data mining tools. - Experience creating data visualizations or dashboards.