Safety Methodologies Internship/Co-op, Summer 2026

Waabi•Pittsburgh, PA

15h

About The Position

Waabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem. 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.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.