Summer Intern -PhD - Foundations: Localization

Position: 2026 Summer Intern -PhD - Foundations: Localization
Mission

Summary:

The Foundations Team is the backbone of our autonomous driving stack, ensuring our vehicles know where they are, can be supported remotely when needed, and have the most accurate environmental data. We are looking for highly motivated interns to join three distinct sub-teams.

General Requirements & Skills

* A self-starter attitude with the ability to tackle ambiguous technical challenges.

* Strong communication skills to work with cross-functional teams in different time zones (US/Singapore).

* Familiarity with modern software development best practices.

Localization (PhD, Remote)

Focus:
Visual-Inertial Odometry (VIO) & Multi-Sensor Fusion

The goal is to move beyond expensive long-range LiDAR by using Vision and IMU as primary sensors. You will help build the next generation of robust, cost-effective localization.

Key Responsibilities:

* Develop methods for offline visual-inertial mapping and online visual-inertial localization.

* Fuse localization results in existing infrastructure to improve robustness in LiDAR-integrated pipelines.

* Research the use of semantic-level features for matching to replace or augment low-level image features (ORB/learned matchers).

Technical Requirements:

* Currently pursuing a PhD in Computer Vision, Robotics, or related fields.

* Deep expertise in SLAM, VIO, and geometric vision.

* Proficiency in C++ and/or Python.

Note:

This will be a hybrid onsite internship position in Boston or Pittsburgh. We will accept resumes on a rolling basis until the role is filled. Compensation will be based on location and degree level.