2027 Summer Intern, BS/MS, Software Engineering, Commercialization
Waymo · A)
- Pay
- $60–$70/hr
- Where
- Mountain View, California, United States; San Francisco, California, United States
- Posted
- Sep 14
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 builds the brains of Waymo's fully autonomous driving technology.
What you'd do
- Work on backend infrastructure stability and reliability
- Feature work in applications such as Event Response or vehicle maintenance tracking
- Optimize robotaxi marketplace to balance the supply and demand of Waymo’s robotaxi services
- Design and develop backend and infrastructure that supports various ride hailing businesses and AV fleet management
- Design and build ML and optimization models for predicting vehicle routing, future demand, passenger destination suggestions, vehicle dispatch optimization, and ETA prediction
What they want
- Progressing towards BS or MS in Computer Science or related technical field
- Interested in infrastructure work: building internal tools, frameworks, and libraries
- Interested in working in scaling commercial operations
- Excellent communication skills - both technically with other engineers, and with non-technical stakeholders
- Excited about working on self-driving cars!
- Experience in general distributed systems and backend development
- Experience programming in C++ and/or with writing robust, efficient code