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Aerospace Assembly Quality Engineer — Drive Defect Reduction

Job in Baltimore, Anne Arundel County, Maryland, 21276, USA
Listing for: Mras USA
Full Time position
Listed on 2026-10-17
Job specializations:
  • Engineering
    Quality Engineering
Salary/Wage Range or Industry Benchmark: 64000 - 93000 USD Yearly USD 64000.00 93000.00 YEAR
Job Description & How to Apply Below

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At ST Engineering MRAS, our employees have amazing opportunities to work on advanced technologies and systems that support thousands of customers and millions of people worldwide every day. From the first flight across the Pacific Ocean to developing highly complex structures for the most popular aircraft in the world, we have come a long way always with a can-do approach to problem solving while delighting customers with our high say-do ratio.

We are looking for people with innovative ideas and the drive to help us grow into the future.

A pioneer in the production and assembly of complex aerostructures including aircraft and rocket components, engine nacelle systems, thrust reversers and advanced composite products, we apply the latest digital technologies and automation in composite design and manufacturing that are second to none. At ST Engineering MRAS, we are also rapidly augmenting our maintenance, repair and overhaul (MRO) capabilities leveraging the company’s expanded aircraft nacelle portfolio as well as it’s materials and processing expertise.

What YOU will do

  • Manages all Quality Engineering functions for assigned program(s) or area(s) with some guidance.
  • Acts as the point of contact for their program to inspectors.
  • Has a general understanding of AS9100, ISO 9001 and/or Nadcap requirements.
  • Eliminates process variation and product defects through creative solutions.
  • Works root cause, corrective action with some guidance using established RCCA tools (PFMEA, DMAIC, 5 WHYs, 8D, etc.).
  • Supports regularly scheduled team meetings including Corrective Action Boards, Quality Engagement Council, etc.
  • Processes all nonconformances and workflows in a timely manner.
  • Takes on training opportunities as they arise.
  • Solicits weekly prioritization of tasks and deliverables that align with business objectives.
  • Mostly takes direction from cross-functional team members/leaders to execute support actions for the cross-functional team.
  • Must be an excellent communicator.
  • Must have excellent computer skills (Power-Point, Excel and statistical software tools).

What YOU must bring to Succeed

Bachelor’s Degree from an accredited university or college in appropriate science, engineering, or engineering technology field with a minimum of 1 year of experience in a manufacturing or in a production quality role, Or High School Diploma/GED with at least 5 years in a manufacturing or in a production quality role.

  • This position involves access to export-controlled technology which requires U.S. Person status or government authorization. A ‘U.S. Person,’ as defined by 22 C.F.R. §120.62, includes U.S. citizens, U.S. nationals, individuals lawfully admitted for permanent residence (green card holders), and individuals granted asylum or refugee status in the United States. To be considered for this position, you must either be a U.S. Person or fall within a legally recognized export control exception or authorization.

    If hired, you will be required to provide valid proof of such status.

Desired Characteristics:

  • Aerospace manufacturing experience.
  • Quality experience, including knowledge of ISO
    9000 or AS9100.
  • Positive attitude and leadership characteristics.
  • Can work in a fast-paced environment and multitask.
  • Able to work both individually and as part of a team.
  • Experience with Lean Manufacturing tools.
  • General understanding of GD&T for drawing review.
  • Ability to work with individuals with diverse backgrounds, experience, and education levels.
  • Training in LEAN, Six Sigma, CI methodologies, and process variation management tools to continuously improve processes (DMAIC).
  • Skilled in the application of statistical methods (e.g. hypothesis testing, ANOVA, design of experiments) to draw…
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