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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: - 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of software development engineer or related occupational experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
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.
USA, TX, Austin - 143,700.00 - 194,400.00 USD annually
USA, WA, Redmond - 143,700.00 - 194,400.00 USD annually
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