Sr. Software System Engineer

Requisition Number: 75770   The company built on breakthroughs. ​   Join us.​                                                                                Corning is one of the world’s leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what’s possible.  ​     How do we do this? With our people. They break through limitations and expectations – not once in a career, but every day. They help move our company, and the world, forward. ​     ​At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.​      Come break through with us.     Corning's Manufacturing, Technology and Engineering division (MTE) is recognized as the leader in engineering excellence & innovative manufacturing technologies by providing diverse skills to Corning’s existing & emerging businesses. We anticipate & provide timely, valued, leading edge manufacturing technologies and engineering expertise.  We partner with Corning’s businesses and the Science & Technology division. Together we create and sustain Corning’s manufacturing as a differential advantage. Key Responsibilities

Industrial Data Governance and Feature Engineering Build standardized data processing pipelines for multi-source industrial data, including process, quality, equipment, and energy-related data. This includes timestamp alignment, data cleaning, anomaly handling, lag analysis, and feature engineering, providing a solid data foundation for modeling and business analysis. Industrial Modeling and Intelligent Diagnosis Design and develop algorithms for industrial scenarios, including time-series forecasting, multivariate process modeling, anomaly detection, fault diagnosis, and soft sensing. Apply quality tracing and causal analysis methods to identify key influencing factors and support process optimization and quality improvement. Industrial Problem Abstraction and Optimization Abstract real-world manufacturing problems into decision variables, constraints, and optimization objectives. Collaborate with domain experts to identify true business constraints, hidden rules, and data boundaries. Based on this, develop solutions using traditional machine learning and deep learning methods, while continuously improving solving efficiency, stability, interpretability, and scalability. Large Model and AI Application Deployment Explore and apply cutting-edge large models (e.g., LLMs, VLMs) and related technologies (e.g., RAG, fine-tuning, LoRA, post-training) to address practical challenges in intelligent manufacturing, such as production efficiency, cost reduction, quality improvement, and energy optimization, and create measurable business value. Industrial Agent Design and Development Define functions, design system architecture, and develop algorithmic solutions for industrial AI agents. Be responsible for feasibility validation, model training, deployment, and practical application, promoting deep integration of AI agents with industrial business workflows. Technology Research and Innovation Track and study the latest developments in large models, AI agents, and industrial AI technologies relevant to manufacturing scenarios. Explore new technologies and methodologies for manufacturing applications and drive continuous innovation. Cross-functional Collaboration and On-site Support Work closely with process, production, equipment, and IT teams to support solution validation, system integration, and large-scale deployment. Travel to factories when necessary for on-site investigation, implementation, and delivery support. Experiences/Education - Required