2019-04-22 Waymo
Intern, Software Engineering, Scene Understanding
Mountain View, California, United States

Waymo is the self-driving technology company with a mission to make it safe and easy for people and things to move around. Building on software and sensor technology developed at Google, Waymo is now launching the world’s first fully self-driving transportation service that will take members of the public from A to B at the touch of a button.

Software Engineering builds the brains of Waymo's fully self-driving vehicles. Our software allows our vehicles to perceive the world around them, 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. 

The Scene Understanding team helps bridge the gap between sensing and action by interpreting and classifying complex situations such as emergency vehicles, construction zones and other temporary changes. You will apply machine learning and advanced algorithms to combine sensor data in real time into a description that the car can use to navigate.

In this Scene Understanding internship, you'll:

  • Explore new state-of-the art robotics, vision or machine learning techniques to improve our system’s capabilities
  • Design, prototype, implement, and deploy software running on the self driving car

At a minimum we’d like you to have:

  • Enrolled in a MS/PHD program in Computer Science, Robotics, or a similar technical field of study, or experience at that level
  • Hands on experience in at least one of: machine learning, robotics, computer vision, or data mining
  • Experience in data structures and advanced algorithms
  • Experience programming in C++
At Waymo, we don’t just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know.
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