Autonomy Systems Research Intern (MS/PhD) - Hybrid

Waymo; Mountain View (CA); Hybrid; USD 96,000 - 117,000; Full time

Job summary

Waymo is seeking a quantitative intern to work with the Systems Engineering team in Mountain View, CA. You will help calibrate safety metrics, analyze massive driving logs, and support cross-team integration into automated workflows.

Ideal candidates are pursuing a Master’s or PhD in a relevant field, fluent in Python and/or C++, and comfortable handling large datasets with statistical rigor. The internship is hybrid onsite in California.

Qualifications

• Pursuing a Master’s or PhD in a quantitative field (CS/Engineering/Physics/Statistics/Data Science).
• Strong programming in Python and/or C++.
• Experience analyzing, wrangling, and visualizing large-scale datasets.

Responsibilities

• Calibrate and validate reachability and safety-margin metrics against human evaluations.
• Analyze large real-world and simulated driving logs to evaluate model accuracy.
• Collaborate across teams to integrate safety signals into release workflows.

Skills

Python

C++

Data analysis

Statistics

Education

Master's or PhD in CS/Engineering/Physics/Statistics/Data Science

Tools

SQL

Job description

Waymo is seeking a quantitative intern to work with the Systems Engineering team in Mountain View, CA. You will help calibrate safety metrics, analyze massive driving logs, and support cross-team integration into automated workflows.

Ideal candidates are pursuing a Master’s or PhD in a relevant field, fluent in Python and/or C++, and comfortable handling large datasets with statistical rigor. The internship is hybrid onsite in California.