Senior Industrial Engineer

Coherent Corp.•Fremont, CA

18h•Onsite

About The Position

About Indium Phosphide (InP) Technology The world’s communications infrastructure depends on semiconductor lasers, and particularly those based on indium phosphide technology. Indium phosphide lasers are engineered to emit at wavelengths that are optimal for long-distance transmission through fiber optics. In short, they enable the optical networks that form the global internet. Coherent’s broad portfolio of InP components includes application-specific Fabry-Pérot lasers, directly modulated lasers (DMLs), and tunable lasers. It also includes photodiodes for high-speed receivers and power monitoring. In 2022, we introduced 200 Gbps indium phosphide electro-absorption modulated lasers (EMLs) for high-speed datacenter transceivers. This design provides our customers with the most advanced, robust, and cost-competitive laser devices for their 800G and next-gen 1.6T datacom transceiver designs. Our world-class and highly reliable InP technology platform is one of the very few in the industry that has been proven, with more than one hundred million lasers in the field deployed over the last decades.

Requirements

Minimum 3 years of relevant experience as a industrial engineer/manufacturing engineer/process engineer preferably in semiconductor wafer fabrication environment
BS degree relevant fields
Familiarity with MES (e.g. CAMSTAR) and PDM systems (e.g. Agile)
Expertise with MySQL
Familiarity with PowerBI
Excellent analytical skills
Customer Oriented attitude
Expertise in MS Excel; proficiency in MS Access preferable
Excellent verbal and written communication skills. Be concise, consistent, and persistent in each daily communication.

Nice To Haves

MS degree in industrial engineering is preferred.

Responsibilities

Own and enhance end-to-end factory capacity models, including tool-level throughput, labor modeling, and fab constraints.
Conduct detailed bottleneck analysis and scenario modeling to guide capital planning, staffing strategies, and product mix decisions.
Translate model outputs into clear recommendations for leadership and cross-functional stakeholders.
Lead development of dashboards, KPIs, and analytical frameworks to monitor fab performance, cycle time, OEE, utilization, and yield.
Use statistical methods and predictive analytics to identify trends, operational risks, and opportunities for improvement.
Champion automation of data collection and analytics workflows to expand visibility and accuracy.
Lead factory-wide continuous improvement projects targeting cycle time reduction, WIP optimization, tool utilization, and throughput gains.
Partner with engineering and operations teams to evaluate process changes, propose layout or workflow optimizations, and validate improvement results.
Apply Lean, Six Sigma, and industrial engineering principles to drive sustainable operational enhancements.
Serve as the program lead for high-impact yield and capacity improvement initiatives.
Develop program charters, timelines, milestones, and cross-functional communication plans.