Communication Systems Geospatial & RF Data Engineer

Amazon; Redmond (WA); On-site; USD 129,000 - 175,000; Full time

Benefits offered by this job

RSUs

401(k) matching

Paid time off

Job summary

Amazon Leo is building a constellation of Low Earth Orbit satellites to deliver high-speed broadband worldwide. As a systems development engineer, you will analyze link budgets, process RF data, and validate RF links, working with global teams on antennas, handovers, and DTD test verifications.

You will apply geospatial analysis and ML techniques to RF datasets, automate test cases, and contribute to end-to-end satellite communication ground systems.

Qualifications

• Bachelor’s degree in Electrical Engineering or experience in electrical engineering field.
• Strong CI/CD principles.
• Proficient in AWS Cloud Infrastructure (CDK).
• Proficient in Python, SQL, PostgreSQL, PostGIS, JavaScript.
• Understanding of vectorization, linear algebra, and matrix multiplication.
• Knowledge of basic machine learning algorithms and techniques.
• Familiarity with data visualization libraries (matplotlib, plotly, etc).
• Experience with remote sensing, image processing, and data pipelines.

Responsibilities

• Design, build, and support remote sensor data collection pipelines from space-based RF links for geospatial analysis.
• Implement best practices for storing, searching, and analyzing terabytes of IQ data streams from multiple ground sites.
• 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 communication 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, link budget analysis, and troubleshooting HW/SW interfaces.

Skills

Geospatial analysis

Machine learning basics

Python

SQL

PostgreSQL

Data visualization

CI/CD

Remote sensing

Team collaboration

Education

Bachelor's degree in Electrical Engineering

Masters/PhD in wireless communications (preferred)

Tools

AWS CDK

Python

SQL

PostgreSQL

PostGIS

JavaScript

MATLAB/C/C++

Job description

Amazon Leo is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband connectivity to unserved and underserved communities around the world. As a systems development engineer, you will work on a variety of projects and multifunctional groups deeply involved in link budget analysis, signal processing, and RF testing and validation. You will also be involved in system-level integration of ground-based and user terminal subsystems that enable next-generation Amazon Leo satellite communication services.

This is a unique opportunity to apply geospatial analysis and machine learning techniques to RF datasets to help troubleshoot, solve, and improve communication links in space and improve the lives of customers. The team works with customer requirements and wireless implementation teams to develop, automate, and execute test cases including antenna pointing algorithms, handover scenarios, and direct-to-device (DTD) link verification—\u201cstate‑of‑the‑art satellite communication ground systems and user terminals.\u201d

In this role you will:

• Design, build, and support remote sensor data collection pipelines from space‑based RF communication links for geospatial analysis
• Implement best practices for storing, searching, and analyzing terabytes of IQ data streams from multiple ground sites around the world
• Implement life‑cycle management strategies for large RF domain data sets
• Apply knowledge of 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
• Work with communication systems engineers to automate scientific instruments to validate RF communication links in a lab environment
• Integrate real‑world data such as weather forecasts and terrain into link budget prediction models
• Support DTD integration efforts through test automation, link budget analysis, and troubleshooting HW/SW interfaces

Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

Basic Qualifications

• Bachelor's degree in Electrical Engineering, or experience working in electrical engineering field
• Strong CI/CD principles
• Proficient in AWS Cloud Infrastructure (CDK)
• Proficient in Python, SQL, PostgreSQL, PostGIS, JavaScript
• Understanding of vectorization, linear algebra, and matrix multiplication
• Possess knowledge of basic machine learning algorithms and techniques
• Familiarity with data visualization libraries (matplotlib, plotly, etc)
• Experience with remote sensing, image processing, and data pipelines

Preferred 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 spectrum of knowledge to understand end-to-end network system architecture from wireless RF and physical layer through application endpoints
• 3GPP NTN and O-RAN knowledge
• Experience leading technical initiatives and key deliverables
• Ability to work in a small team and drive beyond expectations to deliver results
• Background in wireless LTE, 5G/6G, RLC, PDCP, RRC, and RAN protocols
• Knowledge of IP, UDP, TCP, HTTP protocols and analysis tools such as Wireshark
• Experience with current software development processes and tools including Agile, TDD, BDD, CI, Git
• Implementation experience with wireless synchronization and parameter sensing techniques such as ranging/positioning based on signaling, as well as low‑power design expertise
• Wireless communication systems or digital signal processing background, with a passion for building, integrating, and testing real‑world carrier‑grade communication systems
• Extensive experience with lab test equipment such as channel emulators, spectrum analyzers, signal generators, and network traffic generators
• Experience developing or validating antenna pointing or beam tracking algorithms for LEO or mobile satellite systems
• Familiarity with direct-to-device (DTD) satellite architectures and 3GPP NTN Rel-17+ specifications
• Experience building CI/CD pipelines for test automation in embedded or wireless system environments

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

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