Senior Software Engineer, Leo Satellite Build Intelligence

Amazon Amazon · Big Tech · Bellevue, WA · Software Development

Senior Software Engineer role focused on building AI systems for satellite manufacturing intelligence. The role involves architecting and implementing a platform that connects design, production, test, and quality data, utilizing AI-native workflows with retrieval systems, foundation models, agentic tool use, and human review. Key responsibilities include designing AI-native workflows, creating evaluation mechanisms for AI quality, and building production software. The role emphasizes building agentic systems (L4) with a strong focus on evaluation and quality gates (L5).

What you'd actually do

  1. Lead the architecture, design, implementation, and operation of major components of Leo's manufacturing intelligence platform
  2. Convert ambiguous manufacturing, quality, and test problems into clear technical options, written designs, delivery plans, and measurable success criteria
  3. Build production software that connects satellite build data, test outcomes, inspection signals, quality records, supplier data, engineering changes, and on-orbit telemetry
  4. Design AI-native workflows that combine deterministic software, retrieval systems, foundation models, agentic tool use, human review, auditability, and safety guardrails
  5. Create evaluation mechanisms that measure AI workflow quality before production use, including accuracy, groundedness, confidence, escalation behavior, latency, and regression risk

Skills

Required

  • 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

Nice to have

  • 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 applications, workflow platforms, search systems, knowledge systems, or internal platforms used by multiple teams
  • Experience influencing technical direction across teams through written design documents, architecture reviews, code reviews, and constructive disagreement
  • Experience working in manufacturing, aerospace, robotics, industrial systems, quality systems, test systems, supply chain, hardware production, or another complex physical-world domain

What the JD emphasized

  • AI-native workflows
  • agentic tool use
  • evaluation mechanisms
  • safety guardrails
  • auditability
  • human review
  • retrieval systems
  • foundation models

Other signals

  • AI-assisted non-conformance disposition
  • closed-loop root-cause analysis
  • predictive test optimization
  • integrated inspection intelligence
  • AI-native workflows
  • retrieval systems
  • foundation models
  • agentic tool use
  • human review
  • auditability
  • safety guardrails
  • evaluation mechanisms