Software Engineering Positions at Zoox

| No Comments | No TrackBacks
From Taylor Arnicar via ros-users@

Zoox is a rapidly-growing, well-funded startup in Menlo Park building an autonomous vehicle for the future. We're looking for top software engineers and robotics experts to join us on our epic adventure.

A bit about us

Our team has its roots in a decade of research from the Stanford Autonomous Driving Team, which won the $1,000,000 prize in the 2007 DARPA Urban Challenge. Our engineers are writing ground-breaking software in an industry that's experiencing explosive growth. We're pushing the boundaries of what's possible in the field of autonomous driving every day. In addition to a great work environment, competitive pay, generous stock options, on-site gym, and free meals, we offer full health, vision, and dental insurance benefits.

Your role

At Zoox, you'll collaborate with a team of world-class engineers with diverse backgrounds in areas such as AI, robotics, mechatronics, planning, machine learning, controls, localization, computer vision, rendering, simulation, distributed computing, design and automated testing. You'll master new technologies while working with us on code, algorithms, and research in your area of expertise to create and refine key systems and move Zoox forward. Working at a startup gives you the chance to manifest your creativity and make a big difference in the final product.

This will be a challenging but extremely rewarding job. If you want to solve hard problems and make incredible software with us, please put in an application for one of our open positions at


  • Bachelors degree in engineering, math, or a related field
  • Solid understanding of ROS
  • Fluency in C / C++
  • Extensive experience with programming and algorithm design
  • Strong mathematics skills

Bonus points

  • Masters / PhD in computer science or related degree
  • Publications in your field
  • Experience with path planning
  • Experience with deep learning
  • Experience with computer vision
  • Experience with GPU programming
  • Experience with autonomous robots
  • Experience with SLAM
  • Experience handling large data sets
  • Experience with OpenGL or QT

No TrackBacks

TrackBack URL:

Leave a comment

Find this blog and more at

Monthly Archives

About this Entry

This page contains a single entry by Tully Foote published on June 3, 2015 3:48 PM.

Learning Robotics using Python : A new book for teaching ROS using Python was the previous entry in this blog.

2nd ROS Meetup in Korea! is the next entry in this blog.

Find recent content on the main index or look in the archives to find all content.