G450C Industrial/Logistics Engineer
College of Nanoscale Science and Engineering - Albany, NY

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The Global 450 Consortium Industrial/Logistics Engineer duties will include, but not be limited to: implementing and ensuring maximum efficiency production methods to minimize cycle-time and maximize productivity in the CNSE’s Global 450 Consortium process line. This position will work with the Production Control and IT teams to establish valid metrics and reports. The individual selected must provide regular analysis of operational methods and efficiency and perform detailed time / motion efficiency studies of the manufacturing operation. This position is responsible for providing improvement inputs to the G450C wafer inventory system(s) - including dispatch system, manufacturing execution system, and wafer databases – based on workflow and workstation operator inputs. Improving operational efficiency, equipment utilization and cycle time are the primary deliverables. This work will be performed with on-site G450C industrial partners and requires interfacing with the broader supplier community to a significant extent. Other reasonable duties as assigned.

Minimum Qualifications:


B.S. degree in Engineering, Industrial Engineering, Operations, or equivalent Engineering and/or Science discipline from a college or University accredited by the USDOE or internationally recognized accrediting organization AND a minimum of five (5) to seven (7) years of advanced research or manufacturing industry experience in the areas of Manufacturing Execution Systems, Factory Automation, Planning and/or Industrial Engineering, with a demonstrated track record of implementing rational solutions to manufacturing and operational systems problems. Knowledge of Manufacturing Execution and Dispatching Systems is also required.

This position requires excellent written and verbal communication skills. The ability to communicate clearly to C-level executives is expected. CNSE is a multi-client, consortium environment, and the successful individual must demonstrate excellent interpersonal and organizational skills. Ability to work well under pressure and in a fast-paced environment is a must. Candidates must address in their applications their ability to work with culturally diverse populations.

Preferred Qualifications:

M.S. degree in Engineering, Industrial Engineering, Operations, or equivalent Engineering and/or Science discipline from a college or University accredited by the USDOE or internationally recognized accrediting organization AND five (5) to seven (7) years of advanced research or manufacturing industry experience in the areas of Manufacturing Execution Systems, Factory Automation, Planning and/or Industrial Engineering.

Experience with SiView operating system preferred. Semiconductor manufacturing or research experience is highly desirable.

This position is contingent on the satisfactory completion of a background investigation; this position may be subject to annual background investigations.

Notes: Position contingent on the availability of funding.

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