Astronics Advanced Electronic Systems (AES) is seeking a Quality Engineer – New Product Introduction to join our cohesive and diverse team of professional problem solvers in Kirkland, WA.
This is an on-site position that offers flexibility to work from home part-time dependent on project needs.
If you’re passionate about making an impact and driving innovation with a forward-thinking company that stays at the forefront of the latest technologies in the aircraft industry—and has been recognized as one of Washington’s Best Places to Work for 16 consecutive years—please read on!
* Candidates local to the greater Seattle / Kirkland area are highly desired. Relocation support is not available for this position. *

JOB SUMMARY

The Quality Engineer – New Product Introduction (NPI) oversees and manages quality performance for new product introduction. Partnering with our development team, the QE uses their knowledge of engineering principles and quality assurance, and understanding of other engineering disciplines, required to develop effective recommendations for quality assurance in the Astronics AES product lines.

EDUCATION:

• Bachelor of Science Degree in an engineering discipline (Aerospace, Electrical, Mechanical, Industrial, Chemical, Material Science, Computer Science, or related)

EXPERIENCE:

Demonstrates familiarity (typically one – three years of experience) with the above duties and responsibilities and skills listed below. Recent Engineering college graduates will be considered.

• ERP, PLM, and Intranet (i.e., Omnify, Intuitive, SharePoint)
• Process auditing, Internal Auditor certification - Preferred
• Problem solving techniques (i.e., 5Why, Cause and Effect, 8D)
• Brainstorming techniques
• Project management
• Risk assessment methods (e.g., What-If, FMEA, FTA, etc.)
• Statistical analysis (Cpk, Pk, Distribution, X-Y analysis, etc.)
• Lean Six Sigma (Green Belt level skills or greater preferred)

EMPLOYMENT ELIGIBILITY REQUIREMENTS

• As a US Department of Defense Contractor, Astronics is bound by International Traffic in Arms Regulations (ITAR). Must be a US Person under ITAR to be eligible.
• An offer of employment is contingent on successfully passing a pre-employment background screen and drug test which includes screening for the use of cannabis.
  Base salary range for Quality Engineer is $72,746 - $109,119 per year. Mid-point for the range is $90,933.
  At Astronics AES, it is more typical for an individual to be hired closer to the mid-point than near the top of the range.
  Several job-related and non-discriminatory factors including but not limited to experience in comparable roles, skill sets, training, education, licensure or certifications, other qualifications, market conditions and business needs influence actual salary offered.

DUTIES & RESPONSIBILITIES

• Performs analysis of quality data to identify trends or anomalies and recommend updates or changes to company standards and procedures
• Assures compliance to in-house and/or external specifications and standards
• Performs internal audits and/or supplier audits as applicable
• Participates and provides input to changes to company quality process/procedures/guidelines
• Establishes, implements and maintains methods and procedures for inspecting and evaluating the precision and accuracy of inspection processes
• Identifies and solves problem areas within NPI. Manages actions to minimize or eliminate probability of problems occurring
• Facilitates root cause and performs root cause corrective action following established methods
• Provides trainings inside or outside the Quality organization on established process, procedures, and systems

Demonstrates familiarity (typically one – three years of experience) with the above duties and responsibilities and skills listed below. Recent Engineering college graduates will be considered.

• ERP, PLM, and Intranet (i.e., Omnify, Intuitive, SharePoint)
• Process auditing, Internal Auditor certification - Preferred
• Problem solving techniques (i.e., 5Why, Cause and Effect, 8D)
• Brainstorming techniques
• Project management
• Risk assessment methods (e.g., What-If, FMEA, FTA, etc.)
• Statistical analysis (Cpk, Pk, Distribution, X-Y analysis, etc.)
• Lean Six Sigma (Green Belt level skills or greater preferred