2026 Summer Intern, MS/PhD, Perception, Optimization • Entry-Level

Who you are

You are a current MS or PhD student with a strong interest in autonomous driving technology and machine learning. You have a foundational understanding of perception and optimization techniques, and you are eager to apply your academic knowledge in a practical setting. Your curiosity drives you to explore complex technical challenges, and you are excited about the opportunity to contribute to the development of the Waymo Driver.

You possess a solid understanding of CUDA programming and its applications in machine learning. You are comfortable working in collaborative environments and are keen to learn from industry leaders. Your passion for technology and innovation makes you a great fit for the Waymo internship program.

What you'll do

As a Summer Intern at Waymo, you will design and implement CUDA solutions that enhance the capabilities of the Waymo Driver. You will collaborate with experienced engineers to tackle real-world challenges in perception and optimization. Your work will contribute to the development of autonomous driving systems that prioritize safety and efficiency.

You will have the opportunity to engage in hands-on projects that directly impact the company's mission to improve mobility and save lives. Throughout your internship, you will receive mentorship and guidance from leaders in the field, allowing you to expand your skillset and gain valuable experience in the autonomous driving industry.

What we offer

Waymo provides a supportive and engaging internship experience where you can learn and grow. You will be part of a team that values collaboration and innovation, and you will have access to generous benefits programs. The hourly pay for this internship is competitive, with Masters students earning $70 per hour and PhD students earning $85 per hour. Join us for a rewarding summer internship that could shape your future career in technology.