2025 Summer Intern, MS/PhD, GPU Software

Waymo is a self-driving technology company with a mission to make it safe and easy for people and things to get where they're going. Since our start as the Google Self-Driving Car Project in 2009, Waymo has been focused on building the World's Most Experienced Driver in hopes of improving the world's access to mobility while saving thousands of lives now lost to traffic crashes. Our Waymo Driver powers Waymo One, our autonomous ride-hailing service, as well as Waymo Via, our trucking and local delivery service. To date, Waymo has driven over 20 million miles autonomously on public roads across 25 U.S. cities and conducted over 15 billion miles of simulation testing.

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 alongside leaders in the industry on projects that deliver significant impact to the company. We believe learning is a two-way street: leveraging 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 have:

• Experience with GPU performance optimization
• Prior use of GPU profilers
• Understanding of performance analysis and computer architecture fundamentals
• Ability to navigate and contribute to large software projects

Preferred:

• Prior compiler experience especially within GPU compilers or writing LLVM analysis passes
• Experience with GPU libraries such as CUB, CUTLASS, Thrust, or Eigen
• Skilled at GPU optimization techniques such as memory coalescing, register/shared memory tiling, pinned memory, and warp-level programming
• Research experience in parallel algorithms, compilers, or computer architecture