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Forge Process Manufacturing Engineer; Onsite

Job in Midland, Midland County, Texas, 79709, USA
Listing for: Prattwhitney
Full Time position
Listed on 2026-06-03
Job specializations:
  • Engineering
    Manufacturing Engineer, Process Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 110000 USD Yearly USD 80000.00 110000.00 YEAR
Job Description & How to Apply Below
Position: Forge Process Manufacturing Engineer (Onsite)

Pratt&Whitney is working to transform the future of flight—designing, building and servicing engines unlike any the world has ever seen.

What You Will Do
  • Develop and oversee all aspects of part maturation from raw material to end use, with a primary focus on New Part Introduction.
  • Design disk hardware through forge and heat‑treat processes, including finite‑element analysis to define forging, heat‑treating, and tooling shapes using DEFORM software.
  • Create engineering drawings for raw material, laboratory testing sample locations, and forge tooling.
  • Analyze survey data to ensure parts meet required mechanical properties and manage part progression through gated development process phases from product definition to delivery.
  • Develop and implement plans aligned with business strategy to further world‑class technology portfolio goals.
  • Provide operational engineering support to develop technologies and processes that support growth curves and cost‑reduction targets.
  • Leverage manufacturing innovations to improve cost, delivery, and quality of aerospace disk forgings; assist with problem solving during manufacturing‑related investigations.
  • Own relentless RCCA (Root‑Cause Corrective Action) for correcting non‑conformance in the part families, performing DIVEs (Define, Investigate, Verify, Ensure) and implementing corrective actions.
  • Monitor and report on the health of a part family, tracking non‑conformances and comparing part performance against standard times.
  • Lead the CORE (Customer‑Oriented Results and Excellence) journey to continuously improve quality and exceed customer expectations, using statistical methods that meet or exceed process‑control objectives.
  • Travel periodically (
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