Magna
Automotive
QualityEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Quality Engineer at Magna. Skills: Quality Engineering, PPAP, PSW, APQP. Prepare PPAP/PSW packages. Review supplier PPAP/PPSR”
Industry & Context.
Root Cause Analysis
What They're Looking For.
Must Have
1-2 years Quality experience, Automotive assembly experience, Manufacturing environment experience, Quality inspection skills, Core Tools knowledge, Root Cause Analysis skills, Working knowledge of word, Working knowledge of Excel, Computer skills, Good math skills, Capability to Multi task
Nice to Have
Graduate of accredited university/college, ASQ Certification (CQE / CQM / CQA), 3-5 years Quality experience, Automotive assembly experience, Manufacturing environment experience, Minitab experience, PPAP/PSW submissions experience, Reading and Understanding Drawing / GDT, Quality (Core Tools) skills, Root Cause Analysis skills
What You'll Do.
Prepare PPAP/PSW packages
Review supplier PPAP/PPSR
Maintain Customer QPN database
Manage engineering changes
Participate in change control meetings
Coordinate APQP for new programs
Analyze warranty data
Determine quality improvement parameters
Identify statistical methods
Establish statistical confidence
Establish statistical reliability
Use mean time before failure
Use weibull 3-parameter distribution
Use reliability modeling
Use reliability demonstration tests
Lead cross functional teams
Develop Corrective Action
Develop Preventive Action
Develop sampling plans
Apply attribute sampling
Apply variable sampling
Apply sequential sampling
Assist IATF 16949 champion
Act as IATF 16949 auditor
Ensure quality management system processes
Implement quality management system
Maintain quality management system
Report quality management system performance
Promote customer requirements awareness
Participate in RPN reduction meetings
Conduct root cause analysis
Complete hypothesis tests
Complete normal distribution tests
Complete process capability analysis
Complete QR's for supplier rejections
Track 4D & 8D responses
Track supplier score cards
Review customer specific requirements
Follow plant regulations
Adhere to quality standards
Adhere to housekeeping standards
Respond to non-compliance issues
Take corrective action
Adhere to health standards
Adhere to safety standards
Adhere to environmental standards
Adhere to operating procedures
How You'll Work.
Team & Collaboration
Cross functional teams
Process & Methodology
APQP
Full Job Description
**Job descriptions may display in multiple languages based on your language selection.** ## **What we offer:** At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are. ## ## ## ## **Group Summary:** Magna is an innovative leader in the development and manufacturing of high quality complete seating systems. Our solution includes seating structures, mechanisms and hardware, as well as foam and trim products for global automotive, heavy truck and bus industries. Our capabilities include market and consumer research; full concept development; design and engineering capabilities; testing, validation and world-class manufacturing. Our award-winning seating solutions are developed from consumer research, finding the ease of operation to be comfortable, convenient and connected. **Job Responsibilities:** _PRINCIPAL RESPONSIBILITIES AND DUTIES:_ * Prepare PPAP/PSW packages for Customer, and reviews Supplier PPAP/PPSR information * Maintains the Customer QPN database for PSW promise dates, and PPAP submissions * Manages engineering changes through the quality department, participates in internal & external engineering change control meetings * Coordinates APQP for New Programs and Product changes * Review and analyze warranty data for the Division. * Determines quality improvement parameters by identifying statistical methods relevant to manufacturing processes. * Establish statistical confidence by identifying sample size and acceptable error; determining levels of confidence. * Establishes statistical reliability by using mean time before failure, weibull 3-parameter distribution, reliability modeling, an
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