This role pays more than
80%
of similar roles. Most pay
$169,050–$197,750
— the shaded band above.
At the midpoint, this role pays about
$198k
versus about
$183k
for comparable roles.
Based on 240 similar postings.
Employer
About Amazon Inc
Amazon Inc. is the world''s largest e-commerce and cloud computing company, operating the Amazon marketplace, AWS cloud platform, Prime subscription services, Alexa voice AI, and logistics infrastructure. Industry: E-Commerce & Cloud Computing
Amazon Inc currently has
535 open roles
on FindRole.
Listed pay typically runs
$143,700–$194,400
across 533 roles with salary data.
Senior Software Engineer, Leo Satellite Build Intelligence joins the Leo Satellite Build Systems team to develop the software foundation for satellite production. This role involves architecting and building workflow automation platforms that integrate manufacturing engineering, supplier readiness, process qualification, and quality into a unified digital thread. The engineer will build production systems to automate complex workflows like non-conformance disposition and engineering change evaluation while designing AI-native workflows incorporating retrieval systems, foundation models, agentic tool use, and safety guardrails. Key responsibilities include defining APIs, data contracts, and integration patterns while mentoring other engineers. The role requires expertise in software architecture, distributed systems, and generative AI techniques like retrieval-augmented generation and model orchestration. This position solves the challenge of transforming fragmented manufacturing and test data into a cohesive intelligence platform to accelerate satellite production across the supply chain.
What does a Software Engineer earn in California?
Median $214000 from 763 postings across 66 companies.
Architect and implement major components of the manufacturing intelligence platform to unify satellite production data.
Translate complex manufacturing, quality, and test problems into technical designs and measurable delivery plans.
Build software systems that integrate satellite build data, test outcomes, inspection signals, and on-orbit telemetry.
Design AI-native workflows using foundation models, retrieval systems, agentic tools, and safety guardrails.
Create evaluation mechanisms to measure the accuracy, confidence, and risk of AI-driven workflows before production.
Define APIs, data contracts, and reusable platform primitives for use by partner engineering teams.
Lead design and code reviews while providing technical mentorship and guidance to other engineers.
What we're looking for
Candidates must be a U.S. citizen, national, permanent resident, or granted asylum/refugee status for export control compliance.
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.
5+ years of leading design or architecture of new and existing systems including patterns, reliability, and scaling.
Experience as a mentor, tech lead, or leading an engineering team.
Experience designing or building software systems using 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 (preferred).
5+ years of full software development life cycle experience including coding standards, code reviews, source control, build processes, testing, and operations (preferred).
Experience building GenAI-enabled applications using RAG, agentic workflows, model orchestration, structured outputs, evaluation harnesses, guardrails, or human-in-the-loop review (preferred).
Experience designing systems requiring traceability, explainability, auditability, compliance, or high-confidence decision support (preferred).
Experience building distributed systems, data-intensive applications, workflow platforms, search systems, knowledge systems, or internal platforms (preferred).
Experience influencing technical direction through written design documents, architecture reviews, and code reviews (preferred).
Experience in manufacturing, aerospace, robotics, industrial systems, quality systems, test systems, supply chain, or hardware production (preferred).
C
C++
Rust
Embedded Linux
SDN
L2 Networking
RSTP
BFD
MPLS
ARP
ARM
Packet Capture
Structured Logging
Metrics
Source Control Management
Distributed Systems