lumilens - Optical Manufacturing Automation Engineer
Requirements
• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Software Engineering, Physics, Manufacturing Engineering, or a related technical field with 7+ years of relevant experience in manufacturing automation, test automation, or industrial software development. • Experience supporting optical transceiver, silicon photonics, semiconductor, advanced packaging, or high-volume electronics manufacturing environments. • Strong software development experience using Python, C#, C++, LabVIEW, or similar languages for manufacturing automation and equipment integration. • Experience developing software interfaces for manufacturing equipment, automated test systems, robotics, motion control platforms, and production hardware. • Strong understanding of manufacturing automation architectures, industrial communication protocols, and equipment integration methodologies. • Hands-on experience with manufacturing data systems, database development, and production analytics using SQL, NoSQL, or equivalent technologies. • Experience implementing automated data collection, process monitoring, statistical process control (SPC), yield analysis, and reporting solutions. • Familiarity with manufacturing execution systems (MES), ERP systems, factory automation platforms, and production traceability requirements. • Experience with source code management and software lifecycle processes using GitHub, Bitbucket, SVN, or similar version control tools. • Strong understanding of software quality practices including validation, regression testing, release management, bug tracking, and change control. • Experience supporting new product introduction (NPI), manufacturing scale-up, and production ramp activities. • Knowledge of optical manufacturing processes, transceiver assembly, silicon photonics production, automated optical alignment, calibration systems, or high-speed optical testing is highly desirable. • Understanding of quality systems, reliability requirements, and manufacturing compliance standards. • Strong analytical, troubleshooting, and problem-solving skills with the ability to identify opportunities for automation and operational improvement. • Ability to manage multiple projects and priorities in a fast-paced, rapidly scaling manufacturing environment. • Excellent communication and collaboration skills with the ability to work effectively across global engineering, manufacturing, quality, and operations teams.
Responsibilities
• Develop and implement automation solutions that support optical transceiver, silicon photonics, and advanced packaging manufacturing processes from prototype through high-volume production. • Design, develop, and maintain software applications, automation frameworks, and control systems used for manufacturing equipment, test stations, calibration systems, and process monitoring. • Integrate manufacturing equipment, optical test systems, robotics, motion control platforms, and factory automation tools using standard communication protocols and software interfaces. • Partner with manufacturing, process, and test engineering teams to automate manual production activities, improve cycle time, reduce operator dependency, and enhance process repeatability. • Develop automated workflows for data collection, traceability, process control, and production reporting across manufacturing operations. • Create and maintain software tools that support manufacturing execution, equipment monitoring, yield analysis, statistical process control (SPC), and production performance tracking. • Lead automation efforts supporting new product introduction (NPI), ensuring manufacturing systems, test platforms, and process controls are production-ready at launch. • Collaborate with quality and engineering teams to implement automated validation, calibration, and qualification processes that improve product quality and manufacturing consistency. • Develop dashboards, reporting tools, and analytics solutions that provide visibility into manufacturing performance, equipment utilization, yield trends, and operational bottlenecks. • Ensure all manufacturing automation software follows established quality management system (QMS) requirements, including version control, change management, documentation, validation, and release procedures. • Support troubleshooting and root cause investigations related to manufacturing equipment, automation systems, test stations, and production software. • Drive continuous improvement initiatives focused on automation, factory digitization, throughput optimization, yield improvement, and cost reduction. • Collaborate with software engineers, IT teams, database architects, and manufacturing leaders to define scalable automation architectures that support future manufacturing growth. • Generate technical documentation, operating procedures, validation plans, and training materials supporting manufacturing automation systems.
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