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2027 Summer Intern, MS/PhD, Software Engineer, Multiverse

WaymoSoftware
Pay
$70/hour
Work mode
Hybrid
Internship
Education
Master's or PhD

San Francisco, CA at a glance

Rent
#2 of 51
$2,680/mo+46% vs US avg
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#17 of 51
295 mild days0 hot · 0 cold
Income tax
#1 of 51
13.3% top rateCalifornia

What you need

  • Currently pursuing a Master's or PhD in Computer Science or related field
  • C/C++ proficiency
  • Strong verbal and written communication skills
  • SQL skills
  • Python programming skills

What you'll do

  • Contribute to infrastructure for a virtual driver's test for the Waymo Driver
  • Implement scalable simulation data pipelines evaluating Waymo Driver capability
  • Apply software engineering best practices to improve code health and developer experience

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:

  • Contribute to the infrastructure to administer a “virtual driver’s test” for the Waymo Driver. Implement a project for our scalable simulation data pipelines that evaluate the driving capability of the Waymo Driver
  • Apply software engineering best practices in order to improve code health and/or developer experience in the virtual driver’s test

You have:

  • Currently pursuing graduate degree (Master's or PhD) in Computer Science, Software Engineering or a related technical field
  • C/C++ proficiency
  • Strong verbal and written communication skills
  • Excited about autonomous driving, eager to learn

We prefer:

  • SQL skills
  • Python programming skills
  • Familiarity with distributed systems
  • Comfortable with AI-assisted development features and workflows

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

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About Waymo

Waymo, an Alphabet company, is the world leader in autonomous driving technology. Their Waymo Driver powers fully autonomous ride-hailing services in multiple US cities, having completed millions of driverless trips. Formerly the Google Self-Driving Car Project.

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