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 now 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 its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
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 now 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 its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
Software Engineering buildsthe brains ofWaymo’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:
- Currently enrolled in a Master's or PhD program in Computer Science, or a related technical field.
- Contribute to existing projects 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 use cases and flows that can be improved.
You have:
- Python / C++ Coding.
- Distributed Systems.
- Familiarity with ML training and inference lifecycles.
We prefer:
- Hands on experience with feature extraction, feature representations, distributed storage.
- Experience with deep learning frameworks, TensorFlow, Jax.
- Experience with autonomous driving and / or robotics.
Note: This will be a hybrid onsite internship position.
The expected annual pay for this full-time 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—£65,000 GBP
The expected annual pay for this full-time position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements.
PhD Pay
£80,000—£80,000 GBP
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2027 Summer Intern, MS/PhD, Sim-Realism ML Infrastructure employer: Waymo
Waymo is an exceptional employer, offering a dynamic work environment where innovation and collaboration thrive. As a Global Real-Time Incident Leader in the UK, you will benefit from a culture that prioritises employee growth through continuous learning opportunities and a commitment to impactful work. With a focus on data-driven decision-making and cross-functional teamwork, Waymo empowers its employees to make meaningful contributions while enjoying the unique advantage of working at the forefront of autonomous technology.
