GOES-R Image Navigation & Registration/Advanced Baseline Imager System Engineer
NASA/GSFC, Greenbelt, MD

The successful candidate will work in the NOAA's National Environmental Satellite, Data and Information Service (NESDIS) GOES-R Program at the NASA Goddard Space Flight Center (GSFC) in Greenbelt, MD. He/she will serve as the INR/ABI Systems Engineer for design, development, and testing. The successful candidate will be intimately familiar with Structural, Thermal and Optical Performance (STOP) analysis techniques, and models supporting performance predictions. He/she will also be highly experienced in Kahlman filter design and design of systems to correct for optical and radiometric distortions associated with space based instrumentation and remote sensing.

Salary: Commensurate with education and experience.

Experience: Minimum 8 years Satellite Instrument INR Systems Engineering experience. Extensive knowledge required of image acquisition modeling which includes the combined effects of sensor operation; satellite orbit and attitude; and atmospheric and terrain effects; as well as precision correction and applied compensation techniques. Strong capability in targeted analysis error covariance matrix reduction techniques is also required; as is swath-to-swath correlation and channel-to-channel co-registration to the sub-pixel level. Minimum 8 years experience in design, test, and integration of satellite-based remote sensing imaging instruments is required. Longstanding familiarity with the GOES-I/M or GOES-N/Q Imager and the next generation ABI is a plus. Excellent written and verbal communications skills required.

Technical: The individual will work with a team of federal and contractor personnel in the support of the design, development, test, and integration of the GOES-R Advanced Baseline Imager (ABI). Primary duties will be the performance of Structural, Thermal and Optical Performance (STOP) analysis, and the generation of model runs in support of performance predictions for the ABI for integrated thermal, structural, and optical systems and automated exchange of design information between different engineering specialties. The successful candidate must be capable of identifying and performing systematic INR correction and precision correction which refines the geolocation and registration/co-registration. Chief functions also include design analysis, test, and integration for the ABI, the next generation primary GOES-R payload instrument.

Education: BS, MS, (and/or equivalent experience) in Electrical Engineering, Computer Science, Physical Science or Mathematics. Advanced degree preferred.

Computational Physics, Inc. is an Equal Opportunity Employer

Send resume to: employment@cpi.com