Moog

Industrial

QAProjectEngineer

$115–130k Buffalo, New York, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“QA Project Engineer at Moog. Skills: Product development quality, APQP, PPAP, Statistical methods. Lead product development quality activities. Drive product and process quality”

Industry & Context.

Industrial
Problems you'll solve

Problem solving; Statistical problem solving; Root cause analysis

Eligibility Requirements

Access to U. S. export-controlled information

What They're Looking For.

Must Have

Bachelor’s degree in engineering, 5 years relevant experience, Demonstrated experience in product development, Hands-on application of APQP and PPAP, Background in applied statistics, Practical knowledge of manufacturing processes, Translate manufacturing capability data, Excellent problem solving skills, Excellent written communication skills, Excellent verbal communication skills, Excellent presentation skills

Nice to Have

MS in Applied Statistics

What You'll Do.

Lead product development quality activities

Drive product and process quality

Develop and implement APQP plans

Manage PPAP submissions

Design and execute statistical studies

Drive design improvements

Drive process improvements

Create and maintain process control plans

Create and maintain gauge capability studies

Create and maintain measurement systems analysis

Consult with Design Engineering

Consult with Manufacturing Engineering

Consult with Materials & Process Engineering

Consult with Quality Assurance

Optimize designs for cost

Optimize designs for reliability

Optimize designs for manufacturability

Present capability findings

Present variation-reduction findings

Train cross-functional teams

Mentor cross-functional teams

Manage project schedules

Manage project budgets

Supervise quality engineers

Supervise quality technicians

How You'll Work.

Team & Collaboration

Cross-functional leadership; Cross-functional teams; Multi-disciplinary teams

Communication Scope

Written communication; Verbal communication; Presentation skills

Process & Methodology

Project schedules, Project budgets

Full Job Description

Moog is a performance culture that empowers people to achieve great things. Our people enjoy solving interesting technical challenges in a culture where everyone trusts each other to do the right thing. For you, working with us can mean deeper job satisfaction, better rewards, and a great quality of life inside and outside of work. **Job Title** : QA Project Engineer **Reporting To:** Manager, QA Assurance **Work Schedule:** Onsite – Buffalo, NY ## **Industrial Group** specializes in developing custom hydraulic and electromechanical precision motion control solutions. Our current customer base includes flight simulation, oil and gas exploration, and custom hydraulic and electro-mechanical solutions. The position is geared toward technical career ladder advancement. This necessitates innovating technical solutions with the goal of accelerating product platforms into diverse markets. ## As a**Quality Assurance Project Engineer** in**Moog’s Industrial Group,** you’ll report to the Quality Assurance Manager and will be responsible for driving product and process quality through design optimization, statistical problem solving, and cross‑functional leadership during product development and launch. The Project Quality Engineer uses APQP and PPAP, capability studies, DOE, SPC and regression analysis to reduce variation, validate designs against manufacturing and assembly & test (A&T) capabilities, and ensure robust production readiness. ## ## **As a Quality Assurance Project Engineer, you will….** * ## Lead product development quality activities across new product introduction and design change efforts, providing capability input, key characteristic identification, and manufacturability feedback. * ## Develop and implement APQP plans and manage PPAP submissions to qualify parts and processes for production. * ## Design and execute statistical studies (SPC, capability studies, DOE, regression) to diagnose issues and drive design/process improvements. * ## Create and maintai

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