2025 Summer Intern, PhD, Foundational Model Codesign - Waymo

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 work with leaders in the industry on projects that deliver significant impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skillset. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship!

You will:

• Develop novel algorithmic and system optimization techniques to make the Waymo foundational models more efficient.
• Apply model optimizations and efficient deep learning techniques and benchmark their quality and performance implications on Waymo foundational models.
• Code in Python

You have:

• Progressing towards PhD in Computer Science, Electrical Engineering, Machine Learning, or related technical fields.
• Knowledge of Transformers basics.
• Experience with system performance optimization.
• Strong programming skill in Python.

We prefer:

• Strong track record of high quality research in machine learning, computer systems, and/or computer architecture.
• Experience with hardware acceleration, GPU and/or TPU optimizations.
• Experience with JAX.

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.

#LI-Hybrid