2027 Summer Intern, MS/PhD, Software/ML Engineer, Simulation

Job Description

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. 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. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship!
Design and build multimodal data pipelines in Python or C++ that combine vehicle sensor data (camera, LiDAR) and 3D map data for machine learning models
Prototype and iterate on Vision-Language Model (VLM) workflows to automatically detect and categorize complex real-world driving scenarios and road changes
Integrate automated labeling pipelines into data storage and simulation testing workflows
Currently pursuing a MS or PhD in a quantitative or technical field (such as Computer Science, Robotics, Machine Learning, or a related area)
Strong programming skills in Python or C++
Experience with data analysis, SQL, and basic statistics
Experience with computer vision, Vision-Language Models (VLMs), or prompt engineering
Familiarity with 3D geometry, coordinate transforms, or sensor data processing
Experience working with large-scale datasets or distributed data pipelines
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
Free access to Google shuttles
Note: This will be a hybrid onsite internship position. The expected hourly rate for this full-time position is listed below. Hourly Masters Pay
$The expected hourly rate for this full-time position is listed below. Hourly PhD Pay
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