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

Location: Mountain View, California, USA

Department: Pipeline (N/A)

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:

• 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
• 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 

• 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.