We are seeking an experienced Principal Image Science Engineer to join our image processing team.
This role will be instrumental in the implementation of EOI’s image processing pipeline for its VLEO constellation.
The unique position both solid grounding in the fundamentals of electro-optical imaging and outstanding software development skills. As a Principal Image Science Engineer, you will play a key role in shaping how imaging research translates into real-world impact, working collaboratively with cross-functional teams across EOI.
We are looking for an innovative and inclusive scientist who thrives in a collaborative, mission-driven environment.
We encourage applicants who bring unique perspectives and experiences to help us drive innovation and develop impactful solutions.
We are looking for a creative, curious, and motivated individual with a passion for exploration and problem-solving with a bias for action. Responsibilities Create algorithms and production-ready code to form image products from the raw output of multiple high frame-rate individual sensors within a satellite-based electro-optical payload Help define and implement pre-launch sensor characterization as well as on-orbit payload operations to calibrate and validate payload performance. Simulate imagery pre-flight, comprehensively accounting for the expected payload performance and on-orbit parameters. Work closely with other software engineers implementing EOI’s operational image processing pipeline, which includes extensive onboard compute infrastructure. Work closely with product and other engineering teams to iterate on the hardware capability and underlying image capture capability to ensure alignment with EOI’s top-level product objectives. Requirements Bachelor’s degree in optics, engineering, physics, or a related field is required, with a graduate degree strongly preferred 15+ years in imaging science with demonstrated expertise in pre-launch and in-orbit validation of imaging systems with emphasis on EO payloads Proficiency in Python, C++, CUDA, and Jupyter notebooks for data analysis, simulation, and algorithm development A minimum of 10 years working in a large, complex, interdependent organization that includes engineering and related functions. Experience with multi-frame super resolution is preferred Expertise in simulation platforms such as DIRSIG and other modeling tools to generate synthetic datasets for sensor design and testing is preferred Powered by JazzHR