Analyze positioning signals for LEO and lunar satellites, define interfaces, develop SDRs and signal simulators, and test navigation signal generation using Python and C/C++.
About this role
This engineer will process and analyze signal data obtained through microwave observation for mission equipment supporting global satellite services and ocean-observation initiatives based on small-satellite constellations. The work converts collected data into useful information for business and social implementation.
Responsibilities include designing and implementing digital signal-processing algorithms for satellite-borne Earth observation sensors. The role also develops methods for data analysis and visualization, including signal identification using machine learning, and validates algorithms through experiments and simulations. Collaboration with equipment-development and satellite-systems teams is part of the work.
The position concerns mission equipment and satellite-related development. The posting states that satellite and space expertise can be learned after joining, allowing applicants from other industries to take on the role. Common satellite technologies are developed in cooperation with other technical departments.
The stated development environment includes Python and Matlab. Tools and services include GitHub, Slack, Zoom, Microsoft Word, Excel, PowerPoint, Google Workplace, Google Drive, Git, GitHub Actions, and AWS.
The role is based at the Ariake office in Koto, Tokyo. The posting states that employees generally work at the office, with limited remote work available. The office is entirely smoke-free indoors. The organization has 57 members: 45 in technical roles, 4 in business roles, and 8 in administration. The selection process consists of document screening, a first interview, a second interview with an aptitude test, and a final interview.
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