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:
On the ML Ops team, we're building next-gen Waymo datagen infrastructure. The intern will join the team building the ML Datagen Controlplane - a system for orchestrating, prioritizing, and tracking datagen requests & status. Work will range from building out new functionality in the controlplane to expanding upon UI & system visualization functionality to support the needs of our growing user base.
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 ml ops team members & customers to define and implement large scale datagen infrastructure
Translate high level requirements into a working design
Code in C++ (with assistance of agentic coding tools)
Test & debug systems & pipelines
You have:
Currently pursuing a Bachelor's degree in Computer Science or related field
Strong C++ programming skills
Solid foundations in algorithms, data structures, and debugging systems
We prefer:
Strong communication skills
Experience with SQL & data analysis
General Perks
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