Level

Waymo

2027 Summer Intern, BS, Software Engineering, Labeling

AI in this role

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. 

The subteam for this role will be:

Labeling team, building labeling infrastructure for data curation for improving ML models at Waymo. Labeling works at the center of Waymo’s most pertinent problems – collaborating inclusively with modeling teams to source / create / synthesize the data that our models need. We act like owners in  maintaining existing infrastructure, while thinking big when innovating new platforms to improve the user experience with our tools and improve models downstream.

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:

  • Work with labeling engineers on iterating on compiler design and addressing user needs
  • Experiment with different engineering approaches to determine best output for extensible future design
  • Code in c++ and typescript to implement the compiler

You have:

  • Currently pursuing a Bachelor's degree in Computer Science or related field
  • Experience working with large data infrastructure
  • Knowledge of CS graph fundamentals, inc. topographic sort
  • Coding experience – TS / C++ preferred, but those specific languages are not mandatory

We prefer:

  • Strong communication skills

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 Bachelors Pay$60—$60 USD

How we rate this

2027 Summer Intern, BS, Software Engineering, Labeling at Waymo rates 84 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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