2027 Summer Intern, MS/PhD, Software Engineering, Sys Intel & ML

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. The subteam for this role will be: The Onboard Software Integrity team’s goal is to build out architectures, tools, and workflows to prevent, identify, and guide fixes to ensure software integrity across Waymo.

We focus the organization on critical areas such as the numerical fidelity of ML models across devices, non-determinism in both onboard and offboard software, and overall onboard reliability.

We are accountable for the onboard software health while enabling high development velocity. 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: • Design and build infrastructure and tooling to diagnose software non-determinism across autonomous driving systems • Investigate and resolve non-deterministic execution patterns across Waymo codebases You have: • Currently pursuing a Master's or PhD in software engineering or a related technical field • Strong programming skills in C++ • Solid foundation in algorithms, data structures, and systems debugging We prefer: • Experience with statistical data analysis, anomaly detection, or tracing tools • Understanding of common sources of software non-determinism (e.

g., concurrency/race conditions, floating-point determinism, etc.) • Experience with graph execution frameworks General Perks • Help solve challenging problems with a direct impact on the company • Competitive compensation packages with a housing/relocation bonus (if applicable) • Medical, dental, and vision insurance • Fun intern events and networking opportunities Onsite Perks • Free breakfast, lunch, dinner, and snacks • Free access to Google shuttles • Onsite gym 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.

The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements.

Hourly Masters Pay $70—$70 USD The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements.