Laser Process Principal Engineer

RTX•McKinney, TX

3d•$107,500 - $204,500•Onsite

About The Position

The Advanced Products Center (APC) Manufacturing Engineering organization is seeking a highly skilled and motivated senior laser process engineer to support manufacturing operations and drive advancements in the thin film process area. This role is centered on manufacturing support and process development of custom multilayer products and processes. Responsibility includes factory and engineering support, creating Photo Mask layout using AutoCAD, programming of laser and probing equipment. The manufacturing engineer will play a critical role in optimizing process yields, addressing production challenges, and ensuring product quality by collaborating with cross-functional teams. This position offers a unique opportunity to contribute to factory operations, enhance efficiency, and implement process improvements to meet and exceed production goals. The selected candidate will work closely with design, product, process, and test teams to support manufacturing processes and ensure seamless system integration. This role provides a platform to develop advanced technical expertise in thin film processes while contributing to the overall success of the APC Manufacturing Engineering organization.

Requirements

Typically Requires a Bachelor's degree in Science, Technology, Engineering or Math (STEM) and a minimum of 8 years of prior relevant experience
Direct experience in one or more of the following Thin Film processes: Laser Drilling, Flying Prober, NIKON Measurements Systems, Dicing Equipment
Experience using AutoCAD or other design software
Experience working with a multi-disciplined engineering team in resolving technical issues and root cause investigation
U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance
The ability to obtain and maintain a U.S. government issued security clearance is required.

Nice To Haves

Experience with ESI YAG laser, EDI CO2 laser, Hioki Flying Prober, NIKON NEXIV measurement system and ADT dicing equipment
Statistical Process Control (SPC), Statistical data analysis experience, Design of Experiments (DOE) techniques
Technical writing experience for operator instructions, process and/or material qualification reports, equipment vendor statement of works, etc.
Experience with material properties or automated equipment
Experience in Microsoft Office (Excel Master, Project, Word, Power Point)

Responsibilities

Provide engineering and production support for multiple thin film processes
Perform Photo Mask layout using AutoCAD
Programming of Laser and Probe equipment
Set-up and program recipes for metrology tools and measurement systems
Collaborate with cross-functional teams to support manufacturing operations and process development from a materials perspective, including failure analysis, and materials qualifications
Support process improvements activities utilizing statistical process control (SPC) techniques and experimental designs
Support materials, equipment, and manufacturing processes, including qualification, acceptance testing, and specification development
Support process and design improvements through Root Cause and Corrective Action (RCCA), lessons learned, and defect analysis
Provide equipment and process training to manufacturing operators, ensuring alignment with materials and process requirements
Support production with on-site responsiveness to factory equipment, process, materials, and product problems.
Factory production execution support includes developing and implementing well-controlled processes using data-driven methods such as Statistical Process Control (SPC) and Design of Experiments (DOE) and writing shop process documentation
Develop and execute new product builds typically with automated equipment, often requiring creative solutions for next-generation product designs
Process improvement projects to improve factory productivity through leveraging new technologies, investigating and qualifying new materials, and more
Capital equipment down-selection and integration to meet current and future business needs
Effective cross-functional communication of technical information