Computer Vision Engineer II

JPL/NASA•Pasadena, CA

23h•$122,408 - $150,384•Onsite

About The Position

JPL is seeking a Computer Vision Engineer to join the Navigation and Mapping group in the Guidance and Control Section, part of the Mechanical and Control Systems Division. The division is responsible for technology development, advanced concepts, and the design, development, delivery, integration and test, verification and validation, and operation of complex mechanical, thermal, propulsion, robotics, and guidance and control systems. The engineer will implement image-based mapping and navigation capabilities, applying computer vision to problems such as map-relative localization, hazard detection and avoidance, and 3D structure recovery. The work involves adapting standard solutions to problem-specific requirements and, when appropriate, designing and implementing novel solutions. Deliverables will have direct mission impact and require a high level of rigor, supporting JPL’s terrestrial, lunar, Mars-centric, and outer planets missions. The primary focus is upcoming robotic and human Mars and Moon landing missions. The position is based in Pasadena, California, at JPL’s campus-like environment. The typical full-time-equivalent annual hiring range is $122,408–$150,384.

Requirements

Bachelor’s degree in Computer Science, Aerospace, Physics, or a related field and at least 3 years of experience; or a master’s degree and at least 1 year of experience; or a Ph.D.
Thorough familiarity with computer vision principles, theories, concepts, and techniques, emphasizing image processing, geometry, or photogrammetry.
Experience with estimation techniques for robotic navigation.
Very strong software skills in C++ and Python.
Hands-on experience with sensors used for surface-relative navigation, including inertial measurement units, cameras, and lidars.
Track record of working independently with periodic guidance.

Nice To Haves

Experience applying machine learning to computer vision problems.
Background in control theory and space mission design.
Experience participating in multidisciplinary teams.
Good publication record in relevant research areas.
Strong presentation skills.

Responsibilities

Implement capabilities for image-based mapping and navigation.
Develop computer vision solutions for map-relative localization, hazard detection and avoidance, and 3D structure recovery.
Adapt standard solutions to problem-specific requirements.
Design and implement novel solutions for previously unencountered problems when appropriate.
Deliver rigorous code and products with direct mission impact for terrestrial, lunar, Mars-centric, and outer planets missions.