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Sr. Software Dev Engineer, Antenna System Validation, Amazon Leo

Amazon

Sr. Software Dev Engineer, Antenna System Validation, Amazon Leo

full-timePosted: Aug 19, 2026Updated: Aug 27, 2026Redmond, Washington, United States

Job Description

Amazon Leo is Amazon’s low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity. We are a systems team, and we are developing code that runs on live satellites in orbit and runs production of satellites in the factory. Our focus is on Phased array antennas – one of the key components of the satellite. It’s a high-performance embedded system that enables RF connectivity with customer terminals. We are looking for a software engineer with an ownership mindset, innovative ideas and solution-oriented approach that will bring together experts across multiple engineering disciplines to accelerate the rollout of Amazon’s low Earth orbit satellite network. You will architect and implement software solutions that execute rigorous testing of the satellite hardware both in the factory and in orbit. You will gain in-depth understanding of our communications satellites, embedded systems, and improve understanding of hardware and RF systems. We have a knowledgeable and supportive team with broad cross functional expertise, so no prior experience with hardware, space technologies or communications is required. Your Impact: - Lead architecture and development of scalable software test automation frameworks for phased array antenna testing and validation. - Design CI/CD pipelines and hardware-in-the-loop integration testing to streamline software deployment - Together with embedded software teams dive deep into the embedded system behavior and security, provisioning, secure boot considerations to develop software algorithms that interact with the antenna devices and analyze system performance - Partner with the hardware design team to define testing procedures and software algorithms that guarantee high quality of the hardware - Build cloud applications and dashboards for system monitoring and data visualization - Design and develop data pipelines for processing and analyzing massive datasets from RF systems - Develop simulation and modeling applications for antenna performance analysis Technologies & Skills: - Fluent in one or multiple programming languages (Python, Rust, C++, Java, Go, or similar) - Strong understanding of system design for distributed systems, microservices, containerization (Docker preferred) for portability and horizontal scaling - Hands on experience with cloud services and distributed systems (AWS preferred, Lambda, S3, CloudWatch) - Test automation frameworks, CI/CD pipelines, HIL automation - Data processing and storage solutions (relational databases, time series databases, data visualization tools) 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.

Locations

  • Redmond, Washington, United States

Salary

168,100 - 227,400 USD / yearly

Required Qualifications

  • 5+ years of non-internship professional software development experience (experience, 5 years)
  • 5+ years of programming with at least one software programming language experience (experience, 5 years)
  • 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience (experience, 5 years)
  • Experience as a mentor, tech lead or leading an engineering team (experience)

Preferred Qualifications

  • 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience (experience, 5 years)
  • Master's degree in computer science or equivalent (degree in computer science or equivalent)

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