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Design Quality Engineer

Planet Pharma Group · planet-pharma.com
NorthridgeContract
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The job in short

Design quality engineering.

Compliance

Details

Found
5 d ago · posted 2026-07-14
Location as listed
Northridge, California
Role
Quality Engineer
Source
The company’s own careers site

Full description

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 crossfunctional 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 escalate appropriately 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 engineering field AND 7+ years of experience in process development, manufacturing, or quality engineering for medical devices” * 4+ years applying DRM, DFSS, DFMA, and COS methodologies in medical device process development * 4+ years facilitating and generating PFMEA documents; strong working knowledge of DFMEA and design risk documentation (RAD, HRA) sufficient to identify gaps and escalate appropriately * 4+ years developing process parameters, DOEs, P-diagrams/IPO matrices, process characterizations, and process validation strategies (IQ/OQ/PQ/TMV) * 4+ years performing statistical analysis (hypothesis testing, confidence/tolerance intervals, regression, capability analysis, DOEs, GR&R) in Minitab * 4+ years working within FDA QSR, ISO 13485, ISO 14971, ISO 11135, ISO 11737, and EU MDR regulatory frameworks * 4+ years coordinating Design Control, Design Verification, Process Validation, root cause investigations, and CAPA activities * Demonstrated experience collaborating cross-functionally with Supplier Quality, R&D, Contract Manufacturers, and NPI teams in a matrixed environment * Demonstrated experience utilizing Good Manufacturing Practices (GMP) and FMECA Preferred Qualifications * Experience with CGM (Continuous Glucose Monitoring) sensors or insulin pump systems * Proven track record resolving production holds during NPI commercialization and scale-up * Experience managing design transfer and production scale-up activities with contract manufacturers. * Experience serving as the quality “”bridge”” between multiple external partners and internal stakeholders * Experience with problem-solving methodology * CQE (Certified Quality Engineer) or Six Sigma Black Belt certification * Familiarity with automated manufacturing lines and assembly-level process optimization”

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