Lunar Rover Engineer (Computer Vision)
At NASA Ames Research Center in Silicon Valley, we are designing a Lunar prospecting mission to search for water ice in a polar region of the Moon. Join the Rover Navigation team on NASA’s VIPER mission to the Moon. The first planetary rover to venture into permanent darkness!
•Work to develop the first actively illuminated stereo and wide angle stereo mapping solutions for other worlds.
•Build robust systems that tightly integrate hardware and software in a verifiable manner.
•Interact with mission stakeholders who will use your computer vision systems to drive a $250M rover, conduct new science, and explore the unknown.
•MS in Computer Science, Robotics, or related field and 2 years of related experience
•Or PhD degree
•Knowledge of C++ and (Python or Matlab)
•Excellent knowledge of the mathematics and physics of image formation, computational stereopsis, and general computer vision concepts including projection, rectilinear and wide angle camera models, mono and stereo calibration, multi view geometry, feature matching, radiometry, and
high dynamic range imaging, etc.
•Understanding of common statistical methods, graphical models, or machine learning techniques
•A demonstrated history of delivering robust computer vision solutions for field robots – show us your publications, projects, or products
•Problem solver – ability to independently define vision problems, conduct background research, engineer a solution, and evaluate efficacy; follow the scientific method effectively
•Experimentalist – able to demonstrate work through testing in both simulated and physical environments. Understand how to set up metrology, observations, and experimental controls when working to evaluate computer vision in a field environment.
•Collaborative software development workflow – Atlassian toolset, git, etc.
•3D graphics, rendering, or optics experience – BRDFs, ray tracing, Blender, Zemax, etc.
•Familiarity with the operational principles of CCD and CMOS image sensors.
•Knowledge of planetary robotics and the visual challenges associated with other worldly environments
•Aerospace project experience and familiarity with how technical development
interfaces with systems engineering and project management.