QA Project Engineer: Drive Design & Quality Excellence

Moog Inc; East Aurora (NY); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Profit sharing

401k match

Employee Stock Purchase Plan

Flexible Spending Account

Health Savings Account

Relocation assistance

Job summary

Moog Inc. in East Aurora, NY, seeks a Quality Assurance, Project Engineer to optimize design, reduce variation and elevate product quality across design, manufacturing, and A&T. You will apply advanced statistics, work with cross-functional teams, and may supervise a small group of engineers/technicians.

Responsibilities include leading SPC/capability plans, data-driven validation, and Design-To-Cost impact while coordinating with Engineering & QA to meet program goals.

Qualifications

• BS in Engineering or related field with 5+ years applying statistics in design, manufacturing & assembly.
• Proven expertise in SPC, DOE and regression analysis.
• Strong understanding of manufacturing, assembly & testing processes.
• Excellent problem-solving, communication & stakeholder engagement skills.
• Ability to coach others & oversee key milestones.

Responsibilities

• Lead variation reduction and design optimization across product lines.
• Develop and implement SPC and capability plans with data-driven validation.
• Apply advanced statistics to assess capability and inform design decisions.
• Collaborate with Engineering, Manufacturing, Materials & Process to influence requirements.
• Present at customer design reviews and mentor teams.
• Manage project budgets & schedules; document results clearly.

Skills

Statistics in design/manufacturing

DOE

Regression analysis

Root cause analysis

Manufacturing & testing processes

Problem solving

Communication

Education

BS in Engineering

Tools

SPC

DOE

regression analysis

Job description

Moog Inc. in East Aurora, NY, seeks a Quality Assurance, Project Engineer to optimize design, reduce variation and elevate product quality across design, manufacturing, and A&T. You will apply advanced statistics, work with cross-functional teams, and may supervise a small group of engineers/technicians.

Responsibilities include leading SPC/capability plans, data-driven validation, and Design-To-Cost impact while coordinating with Engineering & QA to meet program goals.