Work with a world-class team and help develop one of the most advanced 3-D computer vision systems in the world. You'll be a key contributor to our top-tier computer vision team, have a huge impact in a developing sector and see your research come to life building indoor and outdoor autonomous vehicles. Develop algorithms for localization, tracking and recognition, object detection, navigation and fusion for cameras and other sensors.

Required

• Proven experience in computer vision.
• M.S. or PhD in Engineering, Sciences, Mathematics or similar fields.
• Strong mathematics skills.
• Excellent C++ programming skills including debugging, performance analysis, and test design.

Desired

• GPU programming experience (CUDA/OpenCL).
• Familiarity with mathematical optimization in the context of computer vision.
• Experience using sensors such as cameras, LIDAR, radar, sonar, GPS, IMU, etc.
• Familiarity with SLAM, 3D reconstruction, and calibration.
• Experience with image-space algorithms such as segmentation, optical flow, scene flow, and image decomposition.
• Publications in robotics and computer vision conferences and journals.
• Familiarity with recent machine learning tools and algorithms applied to computer vision problems.

Why work for Canvas?

We are a robotics company changing the way materials are moved. We have a driving passion for creating ground-breaking products and a desire to have big impact. Our environment is exciting, challenging, collaborative, and fun...and we’re building game-changing products. You’ll work with a tight-knit and creative team on state-of-the art solutions to real problems. 

Our office is located in Boulder CO, in the foothills of the Rocky Mountains. Many of us commute by bike and you’ll be a short distance from some of the best hiking, climbing and skiing in the U.S.  Boulder offers a unique mix of outdoors, fine dining, microbrewing and much more. Plus, it’s just a happy place. 

We’re looking for motivated and passionate individuals who love to build things and solve problems. If this is you, please send us your resume as well as photos, videos or descriptions of your past or current projects. We love seeing cool projects so don’t hold back! 

We are an equal opportunity employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, or other protected class.