2027 Summer Intern, PhD, Learning-Based Behavior for Special Vehicles
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride‑hail service and can also be applied to a range of vehicle platforms and product use cases. Software Engineering builds the brains of Waymo's fully autonomous driving technology, enabling perception, decision‑making, and deep‑learning capabilities.
Responsibilities
- Prototype learning‑based behavior policies
- Integrate multi‑modal perception semantics
- Build simulation benchmarks and counterfactual suites
- Inspect 3D driving trajectories
Requirements
- Currently pursuing a PhD in Computer Science, Robotics, or Machine Learning
- Experience in reinforcement learning, imitation learning, or trajectory forecasting
- Proficiency in Python and deep‑learning frameworks such as PyTorch, JAX, or TensorFlow
- Software development skills in C++ or Python
Preferred qualifications
- Top‑tier publications (e.g., CoRL, RSS, ICRA, etc.)
- Experience with transformer‑based trajectory generation
- Familiarity with autonomous simulation frameworks
Work Arrangement
This is a hybrid onsite internship position.
Pay
Hourly PhD Pay: $85 USD per hour.
Benefits
Interns are eligible to participate in Waymo’s generous benefits programs, subject to eligibility requirements.