Support development and testing efforts to improve driving performance across new geofences, contributing directly to the reliability and safety of our AV stack.
Assist in collecting, analyzing, and reporting on autonomous driving data to surface insights that drive engineering decisions.
Help analyze and test autonomy software, identifying failure modes and supporting root cause investigations.
Contribute to clear, accurate technical documentation to support team knowledge sharing and process consistency.

Currently pursuing a Bachelor’s, Master’s, or Ph.D. in Computer Science, Artificial Intelligence, Software Engineering, or a closely related field.
Proficiency in C++, with familiarity with software development processes and best practices.
Strong analytical and problem-solving skills, with the ability to interpret complex data and draw actionable conclusions.
Comfortable working across teams and communicating technical findings clearly to peers and leads.
Self-motivated and eager to learn in a fast-paced, high-impact engineering environment.

Part-time Student Worker – Autonomous Driving, Geofence Expansion

Key skills