LocationMountain View (US-MTV-EMF680), Mountain View, California, USA
Work modehybrid
Typeinternship
SeniorityEntry
DepartmentPipeline (N/A)
Company size10,000+ people
First seenSep 27, 2026 · 2w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Must have3
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
Nice to have3
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
Skills
Python
C++
SQL
computer vision
Vision-Language Models
3D geometry
coordinate transforms
sensor data processing
large-scale datasets
distributed data pipelines
Benefits
Health insurance
Dental insurance
Vision insurance
Housing relocation bonus
About the company
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.
About the role
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 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
•
Build ground-truth evaluation datasets, measure model precision and recall, and systematically improve detection accuracy
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Integrate automated labeling pipelines into data storage and simulation testing workflows
You have:
•
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
We prefer:
•
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
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
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Free breakfast, lunch, dinner, and snacks
•
Free access to Google shuttles
•
Onsite gym
Hiring process
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.