Manufacturing Process Engineer (Onsite)

RTX•Midland, GA

1d•$66,000 - $130,000•Onsite

About The Position

Pratt & Whitney is working to once again transform the future of flight—designing, building and servicing engines unlike any the world has ever seen. And because transformation begins from within, we’re seeking the people to drive it. So, calling all curious. Come ready to explore and you’ll find a place where your talent takes flight—beyond the borders of title, a country or your comfort zone. Bring your passion and commitment and we’ll welcome you into a tightknit team that takes our mission personally. Channel your drive to make a difference into shaping an organization and an industry that’s evolving fast to the future. At Pratt & Whitney, the difference you make is on display every day. Just look up. Are you ready to go beyond? What You Will Do: The Pratt & Whitney Columbus Forge Blades (CFB) Module Center Manufacturing Engineering Organization is seeking a Manufacturing Process Engineer to support CFB as Process Manufacturing Engineer for robotic automation processes. Responsible for all aspects of automation processes; standing up new automation processes from the ground up including fixturing, process tryout, work instruction, standard work, and gaining engineering source approval Develop and implement plans that are in line with the business strategy to further our world class technology portfolio. Provide operational engineering support to develop technologies and processes which support the growth curve and cost reduction targets. Leverage manufacturing innovations to improve cost, delivery, and quality of aerospace blade forgings Own relentless RCCA for correcting non-conformances resulting from automated processes; maintain work instructions applicable to automation. Look for areas to optimize, automate and trim waste; support operational excellence using statistical analysis for process control and certification Develop blade process using statistical methods that meet or exceed the business objective for process control. Assist with problem solving during manufacturing related investigation; provide focused & effective leadership in eliminating EH&S/Ergonomics/Human Factors risks and addressing quality issues.

Requirements

Bachelor’s Degree in a STEM field and 2 or more years' experience in an engineering, manufacturing operations, quality or related industrial environment or a Master's degree and 1 or more years’ experience in a manufacturing operations, quality or related industrial environment
Understanding of continuous improvement tools such as Six Sigma and LEAN or Six Sigma Green Belt certification
Proficiency in Microsoft Office products including: Word, Excel, PowerPoint and Outlook.

Nice To Haves

Engineering degree ( mechanical, electrical, industrial, and manufacturing engineering)
Offline and teach pendant programming of Fanuc robots, 2 years robotics and PLC experience

Responsibilities

Responsible for all aspects of automation processes; standing up new automation processes from the ground up including fixturing, process tryout, work instruction, standard work, and gaining engineering source approval
Develop and implement plans that are in line with the business strategy to further our world class technology portfolio.
Provide operational engineering support to develop technologies and processes which support the growth curve and cost reduction targets.
Leverage manufacturing innovations to improve cost, delivery, and quality of aerospace blade forgings
Own relentless RCCA for correcting non-conformances resulting from automated processes; maintain work instructions applicable to automation.
Look for areas to optimize, automate and trim waste; support operational excellence using statistical analysis for process control and certification
Develop blade process using statistical methods that meet or exceed the business objective for process control.
Assist with problem solving during manufacturing related investigation; provide focused & effective leadership in eliminating EH&S/Ergonomics/Human Factors risks and addressing quality issues.