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.

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.

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 implement metrics, test plans, and simulated scenarios  for testing the autonomous vehicle in off-nominal situations, such as after a fault occurs or when remote assistance is needed, across multiple platforms and in support of rapid commercialization
• Create dashboards to monitor, visualize, and analyze fleet-wide autonomous vehicle fault rates on public roads
• Support the Verification and Validation (V&V) of Fault Protection and Remote Assistance behaviors.
• Build automated pipelines using Python and SQL to update, version, and validate test coverage across safety-critical driving scenarios.

You have:

• Currently enrolled in a MS program in an engineering, computer science, or a related technical field of study
• Enthusiasm to understand a complex system and its various components
• Experience with data analysis/modeling using Python and SQL

We prefer:

• Familiarity with autonomous vehicle technology and systems engineering principles.
• Comfortable with ambiguous problems in a fast paced environment.

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