Job Responsibilities:
· Develop and implement algorithms integrating Computer Vision (CV) and Machine Learning (ML) in support of guidance, navigation and control for spacecraft landing on planetary bodies.
o Includes image-based hazard detection (HD)
o Includes map-relative localization
· Implement and test CV and ML solutions in support of broader GN&C objectives.
· Create high-fidelity simulations to validate HD and other vision algorithms.
Required Skills:
· Bachelor’s degree in a technical discipline with 6 years of relevant experience, or a Masters degree with 4 years of relevant experience, or a Ph.D. with 2 years of relevant experience.
· Strong technical background in computer vision and machine learning with specific application to space or space-based systems.
· Extensive experience in Software Engineering and the practical implementation of Machine Learning or Computer Vision including for real-time applications.
· Proven track record in development, testing, and validation of autonomous, vision-based algorithms in complex environments.
· Excellent communication and interpersonal skills, with a proven ability to present findings to diverse stakeholders.
Desired Skills:
· Experience with Terrain Relative Navigation (TRN) and the integration of vision-based sensors into closed-loop GNC architectures.
· Demonstrated experience in technical leadership and managing project resources or mission-specific deliverables.
· Expertise in the calibration and error-budgeting of sensors including IMUs, SRUs, LIDAR, and Vision systems.
