Our mission is to create robotic tools to impact change in the physical world. We believe the building block for this is spatial AI - the ability for a system to see, understand and learn about the physical world in order to act.
We are looking for great minds to be part of a team using Spatial AI to build one of the world’s most advanced autonomous systems. Our vision-based autonomous vehicles are supporting factories and warehouses across the country and are continually adapting to their highly dynamic environments.
We are building systems that operate autonomously and continuously long-term: on the order of months and years. This requires solving challenges unique to long-term autonomy. You will get to work on these groundbreaking features and technologies with an experienced team of roboticists who have worked on autonomous systems at places like Google, TRI, and Amazon.
In this internship you will:
- Design and development of robust, real-time SLAM algorithms.
- Develop high-quality software designs that allows for both high-performance and maintainable software.
- Live and breathe the software practices that produce maintainable code, including automated testing, continuous integration, code style conformity, and code review.
- Participate in publishing research in academic conferences.
As a minimum you should be:
- Pursuing a PhD in Computer Science or a related field, with focus on Computer Vision.
- Experience in geometric computer vision / SLAM.Strong understanding of optimization, numerical linear algebra and probabilistic estimation.
- Proficient in C++ programming.
Ideal background:
- PhD candidate in Computer Science or related field.
- Experience with SLAM systems (monocular, stereo, visual-inertial or RGBD).
- Experience with CUDA programming.