Amazon Kuiper
Manufacturing
SeniorSoftwareEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Software Engineer at Amazon Kuiper. Skills: Manufacturing intelligence, AI systems, Digital thread. Lead architecture. Design platform components”
What You'll Achieve.
Understand failures faster; Prevent repeat defects; Improve production quality; Increase confidence
Industry & Context.
Root-cause analysis; Troubleshooting
Export control laws
What They're Looking For.
Must Have
Bachelor's degree in computer science, 5+ years software development experience, 5+ years programming experience, 5+ years leading design or architecture, Experience as a mentor, Experience leading an engineering team, Experience designing generative AI systems, Experience building machine learning systems, Experience building search systems, Experience building retrieval systems, Experience working with customers, Experience working with stakeholders, Experience working with partner teams, Experience clarifying requirements, Experience delivering software systems, U. S. citizen or national, U. S. permanent resident, Lawfully admitted as refugee, Granted asylum
Nice to Have
Master's degree in computer science, 5+ years full software development life cycle, Experience building GenAI applications, Experience with retrieval-augmented generation, Experience with agentic workflows, Experience with model orchestration, Experience with structured outputs, Experience with evaluation harnesses, Experience with guardrails, Experience with human-in-the-loop review, Experience designing traceability systems, Experience designing explainability systems, Experience designing auditability systems, Experience designing compliance systems, Experience designing high-confidence decision support, Experience building distributed systems, Experience building data-intensive applications, Experience building workflow platforms, Experience building search systems, Experience building knowledge systems, Experience building internal platforms, Experience influencing technical direction, Experience working in manufacturing, Experience working in aerospace, Experience working in robotics, Experience working in industrial systems, Experience working in quality systems, Experience working in test systems, Experience working in supply chain, Experience working in hardware production
What You'll Do.
Design platform components
Implement platform components
Operate platform components
Convert problems to options
Write technical designs
Create delivery plans
Define success criteria
Build production software
Connect test outcomes
Connect inspection signals
Connect quality records
Connect supplier data
Connect engineering changes
Connect on-orbit telemetry
Design AI-native workflows
Combine deterministic software
Combine retrieval systems
Combine foundation models
Combine agentic tool use
Combine safety guardrails
Create evaluation mechanisms
Measure AI workflow quality
Define data contracts
Define integration patterns
Define reusable primitives
Provide technical guidance
How You'll Work.
Team & Collaboration
Adjacent teams; Partner teams; Quality SMEs; Manufacturing SMEs
Full Job Description
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. 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 - 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 guid
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