Software Development Engineer, Leo AI Foundations
Amazon - Redmond, Washington, USA
Posted May 21, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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- 401(k) match
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Software Development Engineer, Leo AI Foundations Redmond, Washington, USA 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. This role is for a Software Development Engineer who will design, implement, and operate globally distributed systems that enable Leo to achieve low single-digit-second query responses within a near real-time analytics layer or lakehouse, with a primary focus on agentic AI capabilities for autonomous operational intelligence and system optimization. You'll architect intelligent agent systems that continuously monitor, diagnose, and optimize the health and performance of Leo's satellite constellation, ground gateways, and customer terminals. You'll build these systems using the latest AWS technologies and best-in-industry software engineering practices, creating the foundation for AI-powered operational intelligence across the Leo network. 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. Key job responsibilities - Deliver full stack contributions across front-end, back-end, data infrastructure, and AI/ML layers to build end-to-end operational intelligence systems - Design and implement components of multi-agent AI systems that analyze satellite, ground gateway, and customer terminal telemetry to detect anomalies, predict failures, and recommend corrective actions - Build agentic workflows that autonomously
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