Process Engineer, Optical Systems

About the role

The Optical Communications segment of Corning is evolving from a manufacturer of optical fiber and cable to a comprehensive provider of optical solutions. This role combines optical measurement expertise, statistical modeling, process mapping, visualization, and algorithm-based problem solving to improve product quality, equipment reliability, manufacturing performance, and cost competitiveness.

Responsibilities

• Provide engineering-level support for optical measurement equipment, systems, and related manufacturing processes.
• Solve manufacturing and measurement-system issues using data analysis, experimentation, process modeling, statistical methods, and collaboration with SMEs.
• Lead/support projects for cost reduction, process optimization, new products/processes, equipment deployment, and digital transformation.
• Analyze large manufacturing and measurement datasets to identify trends, variation, capability, risk, and improvement priorities.
• Develop dashboards, visualizations, analytical tools, process maps, models, and documentation to support decision making and repeatable operations.
• Recommend and implement improvements to chronic issues, equipment performance, quality architecture, process repeatability, and product performance.
• Monitor, analyze, and communicate key performance metrics while developing predictive and proactive response strategies.
• Support plant safety initiatives, train operations on equipment/process changes, and assure process and product quality.

Requirements

• BS or MS in Optics, Electrical Engineering, Mechanical Engineering, Physics or equivalent degree.
• 2+ years’ work experience in systems development or manufacturing.
• Strong problem-solving, analytical thinking, practical judgment, and ability to learn new technologies quickly.
• Knowledge of basic optics, optical systems, electrical systems, statistics, experimental design, and process optimization.
• Experience interpreting large datasets, creating visualizations/metrics, and translating findings into actionable recommendations.
• Able to lead or contribute to technical project teams, multitask, prioritize independently, and work effectively across all levels.
• Strong communication and presentation skills; experience with process maps, workflows, and performance metrics.

Qualifications

• Optical test/measurement techniques, equipment setup/alignment, computer-based measurement, automation, optical manufacturing, and device testing.
• Manufacturing experience with Gauge R&R, MSA, measurement uncertainty, Six Sigma Green Belt/DMAIC, process capability, yield, and measurement-system analysis.
• Experience with SQL, Python, Power BI, Tableau, Databricks, JMP, Minitab, MATLAB, or similar analytical/statistical tools.
• Dashboard/report automation, machine learning, predictive analytics, process mining, value stream mapping, workflow optimization, digital manufacturing, Industry 4.0, or smart factory concepts.

Skills

• Optical test/measurement techniques, equipment setup/alignment, computer-based measurement, automation, optical manufacturing, and device testing.
• Manufacturing experience with Gauge R&R, MSA, measurement uncertainty, Six Sigma Green Belt/DMAIC, process capability, yield, and measurement-system analysis.
• Experience with SQL, Python, Power BI, Tableau, Databricks, JMP, Minitab, MATLAB, or similar analytical/statistical tools.
• Dashboard/report automation, machine learning, predictive analytics, process mining, value stream mapping, workflow optimization, digital manufacturing, Industry 4.0, or smart factory concepts.

Pay

$95,386.00 - $131,156.00 assuming full time status. Starting pay for the successful applicant is dependent on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education.

Schedule

40+ hours/week; occasional unscheduled off-hours support based on plant priorities.