Senior Software Engineer, Leo Satellite Build Intelligence
Listed on 2026-05-30
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Software Development
Software Engineer, Senior Developer, Software Architect
Senior Software Engineer, Leo Satellite Build Intelligence
Build production AI systems that transform how Amazon manufactures satellites. We are looking for a Senior Software Development Engineer to architect the manufacturing intelligence platform connecting satellite design, production, test, quality, and on-orbit operations into a unified digital thread.
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.
- Lead the architecture, design, implementation, and operation of major components of Leo's manufacturing intelligence platform
- Convert ambiguous manufacturing, quality, and test problems into clear technical options, written designs, delivery plans, and measurable success criteria
- Build production software that connects satellite build data, test outcomes, inspection signals, quality records, supplier data, engineering changes, and on-orbit telemetry
- Design AI-native workflows that combine deterministic software, retrieval systems, foundation models, agentic tool use, human review, auditability, and safety guardrails
- Create evaluation mechanisms that measure AI workflow quality before production use, including accuracy, groundedness, confidence, escalation behavior, latency, and regression risk
- Define APIs, data contracts, integration patterns, and reusable platform primitives that partner teams can build on
- Lead design reviews and code reviews across the team and adjacent teams
- Mentor engineers and strengthen the team through technical guidance, mechanisms, and hands‑on code contributions
You may start the morning with Quality and Manufacturing Engineering SMEs to understand how engineers handle recurring non‑conformances. You then refine a design for retrieval, evaluation, and data contracts across partner systems. Later, you review a teammate’s root‑cause analysis workflow design, simplify an interface partner teams will consume, and add audit requirements. You may end the day prototyping a tool that retrieves manufacturing context, produces grounded recommendations with cited evidence, and routes low‑confidence cases to human review.
Aboutthe Team
Leo Satellite Build Systems builds the software foundation for satellite production. We connect architecture, design, manufacturing, test, validation, quality, and on‑orbit operations into a single digital thread. Our mission is to turn fragmented manufacturing, inspection, quality, supplier, and fleet data into a living intelligence platform. We move quickly, but do not ship prototypes as production systems. We use AI where it creates leverage, and insist on evaluation, traceability, and human judgment where the consequences require it.
BasicQualifications
- Bachelor's degree in computer science or equivalent
- 5+ years of non‑internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Experience designing or building software systems that use generative AI, machine learning, search, or retrieval‑based techniques
- Experience working with customers, stakeholders, or partner teams to clarify requirements and deliver software systems
- Master's degree in computer science or equivalent
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience building GenAI‑enabled applications using retrieval‑augmented generation, agentic workflows, model orchestration, structured outputs, evaluation harnesses, guardrails, or human‑in‑the‑loop review
- Experience designing systems that require traceability, explainability, auditability, compliance, or high‑confidence decision support
- Experience building distributed systems, data‑intensive…
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