About Synspective

Koto-ku, Tokyo

Synspective provides solutions for utilizing and integrating data from Synthetic Aperture Radar ("SAR") satellite constellations, big data, and machine learning.

Key benefits

  • English used internally
  • Flexible work-hours and location
  • Part-time or second job allowed

About the position

In this position, as a member of the Data Production Department, you will lead the backend-end development of the satellite operation system for the StriX series of small SAR satellite constellations. The satellite operation system consists of four subsystems: monitoring and control subsystem, satellite operation planning subsystem, image processing subsystem, and mission analysis subsystem. Since this is an in-house system development, we will not only develop but also operate the system to add and improve future functions.

Responsibilities

  • Development and maintenance for satellite operation system on the ground
  • Test for for satellite operation system on the ground
  • Maintenance for for satellite operation system on the ground
  • Satellite operation support

Requirements

  • Experience in development in Rust
  • Experience in development with more than 3 members
  • Experience in development on the cloud environment
  • Communication skill
  • Able to come to the Kiyosumi Shirakawa office twice a week

Nice to haves

These aren’t required, but be sure to mention them in your application if you have them.

  • Basic knowledge for TCP/IP
  • Experience in development of satellite monitoring and control system
  • Experience or knowledge for satellite operation
  • Experience in development of public infrastructure system

Compensation

The compensation is in principle ¥6 to 7.5 million annually, but for candidates with exceptional experience, it is possible to exceed that range.

Compensation

6 to 7.5 million JPY annually.

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About Synspective

Koto-ku, Tokyo

Synspective provides solutions for utilizing and integrating data from Synthetic Aperture Radar ("SAR") satellite constellations, big data, and machine learning.

Key benefits

  • English used internally
  • Flexible work-hours and location
  • Part-time or second job allowed

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