Principal Engineer Quality
Palmdale, CA, USA | Northrop Grumman
Job Description:53 people have viewed this job
Northrop Grumman Aerospace Systems has an opening for a Principal Quality Engineer to join our team of qualified, diverse individuals. This position will be located in Palmdale, CA.
The Quality Engineer develops, modifies, applies and maintains quality evaluation and control systems and protocols for processing materials into partially finished or finished materials product.
Collaborates with engineering and manufacturing functions to ensure quality standards are in place.
Devises and implements methods and procedures for inspecting, testing and evaluating the precision and accuracy of products and production equipment.
Designs and analyzes inspection and testing processes, mechanisms and equipment; conducts quality assurance tests; and performs statistical analysis to assess the cost of and determine the responsibility for, products or materials that do not meet required standards and specifications.
Audits quality systems for deficiency identification and correction.
Ensures that corrective measures meet acceptable reliability standards and that documentation is compliant with requirements.
May specialize in the areas of design, incoming material, production control, product evaluation and reliability, inventory control and/or research and development as they apply to product or process quality.
May be certified in lean and six-sigma quality engineering methodologies.
Bachelor's degree in a STEM (Science, Technology, Engineering, Math) field with 5 years of experience in a production or manufacturing environment to include inspection, understanding of manufacturing processes and control, ensuring specifications are met, or understanding quality processes OR 3 years with a Master's degree
Previous Quality Engineer/Quality Analyst experience
Active Secret Clearance
Ability to obtain Special Program Access
Six Sigma Certified
Aircraft Assembly or Aerospace Experience
Knowledge of manufacturing self-inspection processes
Experience using data analytics tools to identify and remedy negativetrends in manufacturing performance