Senior Software Engineer, Leo Satellite Build Intelligence

Amazon • Long Beach, CA

2d • Onsite

About The Position

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. You will build systems for AI-assisted non-conformance disposition, closed-loop root-cause analysis, predictive test optimization, and integrated inspection intelligence. Your work will help engineers understand failures faster, prevent repeat defects, improve production quality, and increase confidence across Amazon's satellite constellation.

Requirements

• 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
• 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.

Nice To Haves

• 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

Responsibilities

• 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

Benefits

• 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
• parental leave
• sign-on payments
• restricted stock units (RSUs)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior