2027 Summer Intern, MS/PhD, Sim-Realism ML Infrastructure

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 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 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, make the right decision for every situation, and deliver people safely. We solve complex technical challenges in areas like robotics, perception, decision-making, and deep learning, while collaborating with hardware and systems engineers. We are looking for curious and passionate software engineers or researchers interested in Level 4 autonomous driving.

Waymo interns partner with industry leaders on impactful projects. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill set. Interns are a vital part of our culture and recruiting pipeline. Join us for a fun and rewarding internship!

Internship Responsibilities

• Currently enrolled in a Master's or PhD program in Computer Science or a related technical field.
• Contribute to existing projects by maintaining millions of multi-modal examples and PiBs of feature data.
• Implement new systems to improve existing workflows.
• Work with users and agents to identify potential use cases and flows for improvement.

Required Qualifications

• Proficiency in Python or C++ coding.
• Experience with Distributed Systems.
• Familiarity with ML training and inference lifecycles.

Preferred Qualifications

• Hands-on experience with feature extraction, feature representations, and distributed storage.
• Experience with deep learning frameworks, such as TensorFlow or Jax.
• Experience with autonomous driving and/or robotics.

Note: This is a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be considered for multiple roles, please apply to each one individually, starting with your top three choices.

Compensation Information

The expected annual pay for this position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements.

• Masters Pay: £65,000 GBP
• PhD Pay: £80,000 GBP