Senior Process Engineer

Job Summary:
Manufacturing process engineering position focused on root cause analysis and implementing controls for the manufacturing and testing of Night Vision goggles. The ideal candidate will apply Six-Sigma tools to eliminate rework, conduct root cause analysis, and implement controls in manufacturing processes. The individual can expect to spend time doing data analysis, process improvements, and directly engage with the factory teams on the shop floor to be most effective.

Responsibilities and Tasks:

Conduct root cause analysis on the product as well as components, create detailed reports with data, and recommend/implement solutions
Implement process controls to prevent escapes to customers
Use data analysis techniques to identify gaps and make improvements
Use process equipment, test instruments, and precision gauges in appropriate situations
Optimize manufacturing and testing processes/equipment and implement cost reduction opportunities (yield and productivity improvements, waste elimination)
Daily hands-on floor support to evaluate and process reworks
Work with and train bargaining unit employees to improve work processes and product quality

Qualifications:

BS in Electrical, Mechanical, Materials Engineering, or equivalent
5+ years of failure analysis techniques, data analysis, and problem-solving methodologies
In-depth knowledge of statistical analysis techniques and SPC
Effective communication and documentation skills
Proficiency with MS Office products such as Outlook, Word, Excel, PowerPoint, or equivalents
Ability to handle multiple high priorities
Collaborate with respect and integrity with all levels in the organization
This position requires the candidate to be able to obtain a security clearance.

Preferred Skills:

Prior experience in night vision, thermal, and optics-related fields is a plus.
Experience with statistical analysis software; Minitab, JMP a plus.
Six sigma blackbelt certification is a plus.
Technical experience in a manufacturing environment handling yield and process improvement work.
Experience writing MS Access queries (linking multiple tables, using If statements or other functions, etc.) or equivalent programming understanding.

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