Quality Engineer: Data-Driven QA Leader, Remote + 40% Bonus

PSI Pax, Inc.

Houston (TX)

Hybrid

USD 85,000 - 120,000

Full time

17 hours ago
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Benefits offered by this job

Health Care Plan
Retirement Plan
Life Insurance
PTO
Family Leave
Disability Insurance
Training & Development
Work From Home

Job summary

PSI Pax, Inc. is seeking a Quality Engineer in Houston, TX to drive defect prevention through robust process controls and data-driven continuous improvement.

You will partner with Manufacturing Engineering and Operations to develop PFMEAs, Control Plans, and action systems that boost product quality and manufacturing performance. The role involves leading risk assessments, data analysis, and CAPA investigations, with a focus on improving Cp/Cpk and First Pass Yield.

Qualifications

  • Bachelor's degree in Engineering or related discipline required.
  • 5+ years of manufacturing or aerospace quality experience required.
  • Knowledge of PFMEA, Control Plans, SPC, RCCA, and Lean principles required.
  • ASQ CQE certification preferred.

Responsibilities

  • Facilitate PFMEAs and process risk assessments.
  • Develop and maintain Control Plans.
  • Lead root cause and corrective action investigations.
  • Analyze quality trends, escapes, and defect data.
  • Conduct statistical analysis and process capability studies.
  • Develop quality dashboards and metrics; drive COPQ reduction.
  • Support manufacturing readiness and process validation activities.
  • Collaborate with Operations and Manufacturing Engineering.

Skills

PFMEA
Control Plans
SPC
RCCA
Lean principles

Education

Bachelor's degree in Engineering or related discipline
ASQ CQE certification

Job description

PSI Pax, Inc. is seeking a Quality Engineer in Houston, TX to drive defect prevention through robust process controls and data-driven continuous improvement.

You will partner with Manufacturing Engineering and Operations to develop PFMEAs, Control Plans, and action systems that boost product quality and manufacturing performance. The role involves leading risk assessments, data analysis, and CAPA investigations, with a focus on improving Cp/Cpk and First Pass Yield.

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