Autonomous Driving Data Analysis Intern

Role Overview

We are seeking a passionate and driven Data & AI Engineering Intern to join our autonomous driving team. In this role, you will be at the heart of our data loop/flywheel, solving complex data-governance challenges for massive fleet test data using cutting-edge AI technologies (such as LLMs and AI Agents). You will play a key role in building highly efficient automated data pipelines and full-stack internal platforms, directly empowering the rapid iteration and validation of our autonomous driving systems.

Role responsibilities

• AV Scenario Data Mining: Assist in analyzing and extracting critical driving scenarios and edge cases from vehicle log data (e.g., sensor feeds, speed, trajectories).
• Data Pipeline Support: Help build and maintain automated scripts (ETL) to parse, clean, and organize massive amounts of test data.
• Internal Tool Development: Assist in maintaining and developing basic features for our internal web dashboards (e.g., visualizing test metrics or scenario statistics).
• AI Agent Exploration: Under the guidance of your mentor, explore using AI agents/bots to perform automated data analysis and assist in scenario generalization.

Required Experience

• students studying BS, MS, or PhD in Computer Science, Software Engineering, Robotics, or a related field.
• Solid Python programming skills and comfort working in a Linux/Ubuntu environment.
• Basic knowledge of SQL and database concepts.
• Strong logical thinking, a passion for autonomous driving, and a fast learner.

Bonus experience

• Basic experience with backend web development (e.g., FastAPI, Flask, Django).
• Basic understanding of frontend development (e.g., React, Vue.js) or visualization tools.
• Curiosity about or basic experience with Large Language Models (LLMs) or AI Agents.
• Familiarity with Git and Docker.

We are looking for students with ability to commit to 4-6 months internship with us!

We also offer world-class benefits, fantastic culture, flexible working arrangements, and a great international working environment. Come and join us! Come change the world!