> Markdown version of [/jobs/ext/2577949-system-development-engineer-system-integrations-and-data-amazon-leo](https://www.wearedevelopers.com/jobs/ext/2577949-system-development-engineer-system-integrations-and-data-amazon-leo). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # System Development Engineer, System Integrations and Data, Amazon Leo - **Company:** Amazon.com, Inc. - **Location:** Redmond, WA, United States - **Salary:** $129,200.0 - $174,800.0 - **Contract:** Internship / Graduate position - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Computer Vision, C Sharp (Programming Language), C++ (Programming Language), Cloud Computing, Computer Programming, Extract Transform Load (ETL), Distributed Systems, Supervisory Control and Data Acquisition (SCADA), Machine Learning, Message Queuing Telemetry Transport (MQTT), Network Architecture, Object-Oriented Software Development, Systems Development Life Cycle, OPC Unified Architecture, Software Engineering, Systems Architecture, Systems Integration, Graphics Processing Unit (GPU), Chatbots, Pytorch, Large Language Models, Information Technology, Integration Frameworks, Restful APIs, Data Pipelines - **Published:** August 20, 2026 - **Apply:** https://www.amazon.jobs/en/jobs/10507348/system-development-engineer-system-integrations-and-data-amazon-leo ## About the Role Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design, or experience in professional, non-internship software development - Experience building data pipelines or automated ETL processes - Experience integrating industrial equipment (PLCs, SCADA, robots, CNC machines) using protocols such as OPC UA, MQTT, or REST APIs - Familiarity with manufacturing execution systems (MES) and industrial automation concepts, 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 other AI acceleration hardware - Experience building production software applications or understanding software development, distributed systems, and systems architecture - Experience with AWS or cloud technologies - Experience with AI/ML technologies - Experience collaborating with cross-functional teams - Exposure to computer vision for automated quality inspection - Familiarity with ISA-95 or similar IT/OT integration frameworks and standards - Experience in Industrial networking and communications ## Description 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 ## Related Videos - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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