2026 Summer Intern
Machine Learning Infra Foundations
Posted on 9/11/2025

Waymo
Compensation Overview
$48.08/hr
Mountain View, CA, USA
Hybrid
This is a hybrid onsite internship position.
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. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you're a software engineer or researcher who's curious and passionate about Level 4 autonomous driving, we'd like to meet you.
Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship!
You will:
- Improve large-scale infrastructure: You could work on components for distributed training, automation solutions, and system health monitoring.
- Optimize performance: A core part of the role is identifying and resolving performance bottlenecks in the ML infrastructure, often by using profiling tools and applying optimization techniques.
- Collaborate with engineering teams: You would work closely with research and production teams to enhance the scalability, reliability, and performance of ML models.
- Build tools and frameworks: This could involve developing tools to instrument and inspect ML models, or creating automation for provisioning, deployment, and monitoring.
You have:
- Currently progressing towards BS in Computer Science or a related technical field with at least one academic term remaining after the internship period.
- Experience with C++.
We prefer:
- Proficiency in C++, Python and SQL.
- Knowledge of microservices.
- Familiarity with distributed systems and cloud computing platforms (e.g., GCP).
Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in.

Internship Search Guides
How to Find an InternshipInternship SalariesInternship DeadlinesMock Interview Prep