Скачать или смотреть Interview: Exploring Nuro's Autonomous Driving Technology with Qingqing Cao

In this episode, we talk with Qingqing Cao, a Software Engineer at Nuro, a robotics company developing autonomous vehicles powered by its self-driving system, Nuro Driver. Qingqing shares how her team builds the data infrastructure behind these vehicles and how they manage the terabytes of data generated daily by each car.

We also discuss Nuro’s recent partnerships with Uber and Lucid, including the launch of the first autonomous ride-hailing vehicle developed specifically for Uber. Qingqing reflects on the challenges of working with large-scale autonomous systems and how her background in civil engineering and machine learning helps bridge applied research with production-ready code.

Key technologies discussed include Python, C++, Golang, Kubernetes, Google Cloud Platform (GCP), and the Cursor AI-powered code editor.

00:00 Introduction and Guest Welcome
00:20 Overview of Nuro
01:11 Nuro's Technology and Solutions
02:15 Nuro's Customers and Partnerships
05:05 Data Platform and Infrastructure
12:00 Challenges and Innovations in Data Management
23:01 Team Structure and Responsibilities
25:52 Identifying Problems in Autonomous Vehicle Data
26:32 Favorite Debugging and Development Tools
28:16 Ground Penetrating Radar in Civil Engineering
33:09 Transitioning from Civil Engineering to Autonomous Driving
37:25 Advice for Students and Early Career Researchers
40:00 Future of Programming and Generative AI
45:13 Lightning Round: Personal Insights and Preferences
49:27 Conclusion and Farewell