Job description

Amazon Leo is Amazon’s low Earth orbit satellite broadband network. Its mission is to deliver fast, reliable internet to customers and communities around the world, and we’ve designed the system with the capacity, flexibility, and performance to serve a wide range of customers, from individual households to schools, hospitals, businesses, government agencies, and other organizations operating in locations without reliable connectivity. 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. Build software and AI systems that transform how Amazon designs, qualifies, and executes satellite manufacturing across the supply chain. We are looking for a Senior Software Development Engineer to architect workflow automation platforms that connect Manufacturing Engineering, Supplier Readiness, Process Qualification, Production, Quality, Test, and Operations into a unified digital thread. You will build systems that automate and accelerate complex manufacturing workflows, including manufacturing process qualification, supplier and process readiness, engineering change evaluation, inspection and test workflows, non-conformance disposition, and production issue resolution. Your work will help engineers and operations teams reduce manual coordination, standardize decision-making, surface the right manufacturing context at the right time, and move processes from engineering intent to production readiness faster. 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 guidance, mechanisms, and hands-on code contributions A day in the life You may start your day with Supply Chain, Manufacturing Engineering to understand how teams manage a complex manufacturing process qualification or supplier-readiness workflow. You then translate those requirements into workflow states, data contracts, automation opportunities, and integrations across partner systems. Later, you may lead the design of an automated qualification workflow, review an AI-assisted decision workflow with partner teams, or simplify a critical interface. You will work at the intersection of software engineering, AI, manufacturing, and supply chain to eliminate manual handoffs, accelerate critical workflows, and help scale satellite production with greater speed, consistency, and traceability. About the 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. - 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 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 Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit amazon.jobs for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at amazon.jobs . USA, CA, El Segundo - 168,100.00 - 227,400.00 USD annually USA, WA, Bellevue - 168,100.00 - 227,400.00 USD annually

Requirements

Must-haves

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 guidance, mechanisms, and hands-on code contributions
A day in the life
Later, you may lead the design of an automated qualification workflow, review an AI-assisted decision workflow with partner teams, or simplify a critical interface.
About the team
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 applications, workflow platforms, search systems, knowledge systems, or internal platforms used by multiple teams

Nice-to-haves

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Keywords to mirror

aimachine learning

Platform: amazon
Effort: medium

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401(K)

Paid Time Off

Parental Leave