R&D Communications Engineer

TL;DR

R&D Communications Engineer (Space): Participate in advanced R&D projects for new technology development and next-generation lunar transportation system architecture with an accent on RF and Optical Communications tradespace modeling using Python-based analytical tools. Focus on defining subsystem architectures, performing link-budget evaluations, and integrating technologies into lander, orbiter, and rover missions.

Location: Tokyo, Japan / Hybrid

Company

Space company focused on lunar transportation, infrastructure, and resource utilization missions.

What you will do

• Define, analyze, and evaluate RF and Optical Communications subsystem architectures for future missions, including equipment selection, trade studies, and full RF link-budget evaluations.
• Develop and maintain Python-based analytical models for tradespace exploration, subsystem sizing, and architecture evaluation.
• Collaborate with multidisciplinary teams across Japan, EU, and US offices on conceptual system design and mission architecture.
• Provide technical leadership in communications R&D tasks with clear documentation of models and results.
• Support communications-related R&D projects, technology demonstrations, and customer development activities.

Requirements

• BSc or Master's degree or experience in RF/optical communications for spacecraft design.
• Five or more years of experience with RF and/or Optical communications system analysis, link-budget creation, tradeoffs in bands, modulations, coding, and BER impact.
• 3 years of experience with modeling programming languages (Python: NumPy, SciPy, Pandas, Matplotlib or strong MATLAB).

Nice to have

• Experience in interoperable nodes constellation design (intersatellite links, PNT, communication coverage).
• Experience with modeling and optimization tools (GMAT, STK, link budget simulation libraries).
• Systems engineering experience using Model Based Systems Engineering approach.
• Understanding of communications regulations (ITU, SFCG).
• Ability to work in fast-paced, ambiguous conceptual environments with proactive technical ownership.