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.

Description We are seeking an innovative and solution-oriented System Development Engineer (SysDE II) to join our team to develop solutions that integrate machines and equipment with enterprise manufacturing systems, build custom manufacturing applications, and deploy applied AI within an active satellite manufacturing facility. This role combines hardware, software, OT and IT stack development to connect plant-floor assets with enterprise platforms, create purpose-built applications that streamline production workflows, and build intelligent solutions that unlock value from manufacturing data. In this position, you will primarily work on integrating machines, robots, PLCs, SCADA systems, and production equipment with enterprise systems such as MES (Manufacturing Execution System), enabling real‑time data flow between the shop floor and higher-level business systems. You will build custom manufacturing applications such as operations dashboards, digital work instructions, traceability tools, and production monitoring systems tailored to the unique needs of satellite manufacturing. You will also design and deploy applied AI solutions that leverage equipment and process data to drive predictive maintenance, automated quality inspection, process optimization, and intelligent manufacturing workflows.



The ideal candidate will have direct hands‑on experience connecting industrial equipment (PLCs, SCADA, Torque Tools, CNC machines) to enterprise manufacturing systems (MES), developing custom applications for manufacturing environments, building applied AI solutions for production use cases, or deploying industrial connectivity and data integration solutions using modern DevOps practices at scale.

Key job responsibilities Bridge the gap between IT and OT environments by integrating plant-floor equipment (PLCs, SCADA, robots, CNC machines, torque tools) with enterprise systems such as MES using OPC UA, MQTT, and REST APIs Build and maintain real-time data pipelines that converge OT and IT layers, enabling end-to-end production visibility, traceability, and data-driven decision‑making across the manufacturing stack Develop custom manufacturing applications (dashboards, digital work instructions, production monitoring, and quality traceability) tailored to satellite manufacturing operations, serving as the connective tissue between shop‑floor systems and enterprise platforms Design, train, and deploy applied AI solutions for predictive maintenance, automated quality inspection, anomaly detection, process optimization, and intelligent chatbots leveraging data from both OT and IT systems to drive actionable insights for Production Operations.



Partner cross‑functionally with controls engineers to ensure equipment‑level connectivity and PLC/SCADA integration Collaborate with manufacturing engineers to translate process requirements and domain expertise into scalable digital solutions Work alongside network development engineers to architect reliable, secure industrial network infrastructure that supports OT/IT convergence

Basic Qualifications

Experience programming with at least one up-to-date language such as Java, C++, or C# including object‑oriented design, or experience in professional, non‑internship software development

Experience in ETL management/data pipeline

Experience designing or implementing integrated automation solutions such as material handling systems, high‑speed packaging lines, or manufacturing lines

- Experience integrating industrial equipment (PLCs, SCADA, robots, CNC machines) using protocols such as OPC UA, MQTT, or REST APIs

Preferred Qualifications

Experience building production software applications or understanding software development, distributed systems, and systems architecture

Experience with AWS or cloud technologies

Experience collaborating with cross‑functional teams

Experience in one or more IT infrastructure domains (storage, compute, networking, security, software development, systems administration, database engineering or administration, machine learning, cloud infrastructure, big data, DevOps, or other IT infrastructure domain)

Experience in Industrial networking and communications

- Experience in Space Vehicle/Satellite Operations, Space Communications or related industry

- Experience working with PyTorch or JAX software, or experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or o

📌 System Development Engineer, Amazon Leo (Redmond)
🏢 Amazon
📍 Redmond