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 role develops Web GIS applications that use satellite data, geospatial information, IoT data and other sources. The work aims to make earth-observation information easier for end users in areas such as agriculture, environmental management, ocean monitoring, farmland management and forest management to understand and use.
Responsibilities include designing, implementing and improving web frontends, including quality improvement and performance optimization. The role implements map and visualization interfaces using tools such as MapLibre, including map display, layer control and interaction design. It also connects applications to APIs to provide data display, search, filtering and dashboards.
The engineer works with designers, product managers and backend engineers on requirements organization and prototyping, including proof-of-concept work. Product development is based on user feedback and may support business development and new product creation. The products may be used in countries including Brazil and Paraguay, and the work can involve joint research projects with overseas space-development and government organizations.
The position is assigned to the Data Solutions Department. Product development is currently carried out by a team of approximately three to four people. The posting states that knowledge of space engineering is not required because it can be learned after joining.
The main programming languages are TypeScript and Python, with Rust used when needed. Named libraries and tools include React and MapLibre GL JS or similar visualization and mapping libraries. Development environments are macOS or Linux, including WSL2. Communication and development tools include GitHub, Slack and Zoom. GitHub Projects V2 and GitHub Issues are used for task management, Git for version control, and GitHub Actions for CI/CD. The listed cloud service is AWS, with Terraform for infrastructure as code. Monitoring tools include Amazon CloudWatch, Grafana and Sentry, and the listed databases are PostGIS and Amazon Aurora DSQL.
The work location is the Ariake office in Koto, Tokyo. Remote work is available, while the average arrangement is approximately 3.5 days per week in the office, adjustable according to individual circumstances. The office is fully non-smoking indoors.
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