2027 Summer Intern, MS/PhD, Depot Automation

Waymo's Systems Engineering team works together to blend software and hardware systems in groundbreaking new ways. We set the high performance standards that ensure our vehicles run smoothly and keep passengers safe, then design and perform the tests that validate that performance. We're looking for talented teammates who’ll help us maintain strong teamwork and are passionate about driving results.

The SysEng Commercialization team is responsible for ensuring that our depot operations scale efficiently and reliably. We develop requirements, test infrastructure, and diagnostic pipelines required to keep fleets moving and quickly unblock issues as they emerge in real-time.

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, implement, and optimize low-latency data pipelines using C++ and SQL to ingest and structure realtime depot telemetry.
• Develop a modern, responsive frontend dashboard that visualizes operations data, prioritizing a seamless user experience for operations staff.
• Collaborate directly with triage engineers and ops staff to gather requirements, iterate on designs, and ensure the tool meets ground-level situational awareness needs.
• Write robust, maintainable code with a strong emphasis on test-driven development, integration testing, and team code reviews.

You have:

• Currently pursuing a Master's or PhD.
• Data Architecture & Processing: Demonstrated capability in conceptualizing and writing efficient data transformation pipelines (C++/SQL).
• Full-Stack & UI Implementation: Experience converting backend data streams into actionable, user-centric visualizations.
• Testing Rigor: Strong grasp of integration testing and ensuring reliability in critical systems.

We prefer:

• Experience or coursework related to data streaming, distributed systems, or low-latency data processing.
• Familiarity with UI/UX principles centered around data visualization and operational oversight.
• Prior experience working closely with end-users to collect requirements and iterate on product features.

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.

Hourly PhD Pay

$85—$85 USD