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Design Quality Engineer

Job in Los Angeles, Los Angeles County, California, 90079, USA
Listing for: Planet Pharma Group
Full Time position
Listed on 2026-07-08
Job specializations:
  • Engineering
    Quality Engineering, Process Engineer, Regulatory Compliance Specialist
Salary/Wage Range or Industry Benchmark: 68880 - 82656 USD Yearly USD 68880.00 82656.00 YEAR
Job Description & How to Apply Below

Pay 50-60/h depending on experience

Design Quality Engineer – Process Development to support new product introduction (NPI) and production scale-up activities within the diabetes medical device space. This individual will drive process validation strategies, lead process risk management (PFMEA), and serve as a critical cross functional liaison between internal Supplier Quality, R&D, Contract Manufacturers, and NPI teams. The ideal candidate brings deep expertise in process development, FMEA methodologies, and regulatory compliance – a proven track record of resolving critical production issues during scale-up and mentoring engineering teams is essential.

Process

Development & Validation
  • Develop P-diagrams, Input-Process-Output (IPO) matrices, process characterizations, and test method validation (TMV) strategies for NPI programs.
  • Author and manage Master Validation documents (IQ/OQ/PQ/EQV/TMV) for new product introductions and production scale-up.
  • Apply methodologies including Design for Reliability and Manufacturability (DRM), Design for Six Sigma (DFSS), Design for Manufacturing Assembly (DFMA), and Cell Operating System (COS).
  • Drive risk mitigation approaches by integrating qualification parts early in process development phases.
Process Risk Management & Risk Navigation
  • Facilitate and generate Process Failure Modes Effects Analysis (PFMEA) documents for manufacturing processes during NPI and scale-up.
  • Maintain strong working knowledge of design risk documentation (RAD, DFMEA, HRA) to critically analyze process-related failures and identify gaps.
  • Recognize when process findings have design risk implications and elevate to Design Quality Assurance (DQA) partners for design risk assessment decisions.
  • Leverage understanding of risk documentation during root cause investigations and critical analyses to ensure comprehensive disposition.
  • Conduct thorough root cause investigations using A3 Problem Solving methodology, fishbone diagrams, 5-Why analysis, and brainstorming techniques.
Cross‑Functional Engagement & Collaboration
  • Serve as the primary quality interface between internal Supplier Quality Engineering (SQE), R&D cross‑functional teams, Contract Manufacturers, and NPI program teams.
  • Facilitate regular cadence of alignment discussions with Supplier Quality and vendors to implement updated control plans, inspection criteria, and risk documentation.
  • Collaborate with R&D teams to translate design intent into manufacturable process parameters during design transfer.
  • Partner with NPI groups to ensure seamless transition from development builds through production qualification and commercial readiness.
  • Ensure alignment between contract manufacturers and internal teams on deliverables, expectations, and quality standards.
  • Bridge QMS gaps between contract manufacturing partners and internal quality systems, standardizing documentation templates and expectations.
  • Direct comprehensive drawing reviews with cross‑functional partners ensuring all Critical Dimensions are accounted for incoming and in‑process inspections.
Production Scale‑Up Support & Crisis Management
  • Lead cross‑functional teams through high‑pressure production holds and scale‑up challenges during NPI commercialization.
  • Conduct root cause investigations (A3 methodology) and implement Corrective and Preventive Actions (CAPA).
  • Strategize and guide engineering teams to deploy effective investigation approaches for supplier and manufacturing issues.
  • Proactively identify production risks during scale‑up and drive containment/resolution before they impact launch timelines.
Statistical Analysis & Data‑Driven Decision Making
  • Perform statistical analyses including hypothesis testing, confidence and tolerance intervals, regression, capability analysis, DOEs, and GR&R using Minitab.
  • Utilize statistical process control (SPC), I‑MR charts, Box plots, and Normality & No.
Required

Skills & Qualifications
  • Master’s degree in Mechanical Engineering, Biomedical Engineering, or related field AND 5+ years of experience in process development, manufacturing, or quality engineering for medical devices or Bachelor’s degree in Mechanical Engineering, Biomedical Engineering, or related…
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