Autonomous Systems Research Intern (MS/PhD) – Hybrid

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

Benefits offered by this job

Benefits programs

Job summary

Waymo is seeking an intern to join the Systems Engineering team and contribute to ongoing safety and performance validation for the Waymo Driver. The role blends software and hardware experience in a hybrid onsite setting.

Applicants are pursuing a Master's or PhD and have strong Python/C++ skills, plus experience analyzing large datasets and applying statistical methods. The program offers generous benefits and an hourly pay structure.

Qualifications

• Currently pursuing a Master's or PhD in a quantitative field.
• Proficiency in Python and/or C++.
• Experience analyzing, wrangling, and visualizing large-scale datasets.
• Demonstrated analytical and statistical skills for validating quantitative models.

Responsibilities

• Calibrate and validate reachability and safety-margin metrics against human evaluations.
• Analyze large-scale driving logs to evaluate model accuracy and edge cases.
• Partner cross-functionally to integrate safety signals into workflows.

Skills

Python

C++

Data analysis

Statistical skills

Machine learning

Education

MS/PhD candidate

Tools

SQL

Job description

Waymo is seeking an intern to join the Systems Engineering team and contribute to ongoing safety and performance validation for the Waymo Driver. The role blends software and hardware experience in a hybrid onsite setting.

Applicants are pursuing a Master's or PhD and have strong Python/C++ skills, plus experience analyzing large datasets and applying statistical methods. The program offers generous benefits and an hourly pay structure.