
Communication Systems Geospatial & RF Data Engineer
Skills
About the role
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 - for state-of-the-art satellite communication ground systems and user terminals.
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
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.
USA, TX, Austin - 129,200.00 - 174,800.00 USD annually
USA, WA, Redmond - 129,200.00 - 174,800.00 USD annually
Compensation
This Data Engineer role pays $129k-$175k/yr. Within typical range for data engineer roles in United States.
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