Geospatial RF Data Engineer for LEO Satellite Links

Amazon

Redmond (WA)

On-site

USD 129,200 - 174,800

Full time

14 days+

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Job summary

Amazon Leo is a satellite mission team under Amazon Kuiper Manufacturing. As a systems development engineer, you will work on link budget analysis, signal processing, RF testing and validation, and system-level integration of ground-based subsystems for next-gen satellite communications.

You will apply geospatial analysis and ML methods to RF datasets, contribute to automated test cases for antenna pointing and DTD link verification, and collaborate with heterogeneous engineering teams to

Qualifications

  • Masters/PhD with emphasis in wireless communication systems.
  • Proficiency with modeling in MATLAB and/or C/C++; experience in test automation setup and scripting languages such as Python/Perl/MATLAB.
  • Broad knowledge to understand end-to-end network system architecture from wireless RF and physical layer through application endpoints.
  • 3GPP NTN and O-RAN knowledge.

Responsibilities

  • Design, build, and support remote sensor data collection pipelines from space-based RF links for geospatial analysis.
  • Implement life-cycle management strategies for large RF domain data sets.
  • Apply geospatial analysis techniques to identify patterns and issues for RF links in space.
  • Apply AI/ML techniques for detecting RF and PHY performance anomalies from satellites on orbit.
  • Automate scientific instruments to validate RF links in a lab environment.
  • Integrate real-world data such as weather forecasts and terrain into link budget prediction models.
  • Support DTD integration through test automation and troubleshooting HW/SW interfaces.

Skills

Geospatial analysis
RF testing
Test automation

Education

Masters/PhD in wireless comms

Tools

MATLAB
C/C++
Python

Job description

Amazon Leo is a satellite mission team under Amazon Kuiper Manufacturing. As a systems development engineer, you will work on link budget analysis, signal processing, RF testing and validation, and system-level integration of ground-based subsystems for next-gen satellite communications.

You will apply geospatial analysis and ML methods to RF datasets, contribute to automated test cases for antenna pointing and DTD link verification, and collaborate with heterogeneous engineering teams to

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