Quality Engineering (Assembly / Manufacturing)

The Manufacturing Quality Engineer will develop, lead, manage, and implement process improvements. They work to solve organizational, production, and service-related problems using the fundamentals of design, lean principles, engineering/quality tools, data analysis and technology.

Responsibilities:

Develop, create, and manage manufacturing process flows including QA check points, process sheets, work instructions, and operational methods sheets (OMS) (assembly + test) for company products.

Develop, create, and manage service process flows, process sheets, rework instructions, and operational methods sheets (OMS) for service, repair, and production management processes.

Perform first part qualification/inspection of incoming materials, identify, and document non‑compliant incoming materials and determine their disposition.

Apply Quality Engineering tools such as Failure Mode & Effects Analysis (FMEA), Fault Three Analysis (FTA), Root Cause Analysis, Design of Experiment (DOE) etc., to improve products and/or processes related to incoming material, services, and finished products.

Identify and deploy software tools and systems for monitoring, data collection, and reporting of production and service performance records and data.

Track, analyze, and provide manufacturing and service performance data (i.e. production control charts, reliability, process capability) to improve processes and monitor and measure progress to target.

Lead/participate in supplier/CM qualifications and engagements to assess technical competency and general compliance to requirements (material specifications, CTQ's, process control plans, quality agreements, etc.).

Establish, maintain, and provide training to production staff.

Maintain compliance with all applicable OSHA and EPA standards.

Coordinate new product releases with engineering team and review, manage and implement Engineering ECOs into production.

Develop Production(P)FMEA from results of Design(D)FMEA.

Measure Run-at-rate, takt time and implement Gauge Repeatability and Reproducibility (Gauge R&R).

Experience with manufacturing electronics products that conform to IPC-A-610 certification requirements.

Perform root cause analysis and implement corrective and preventative actions (CAPA) for non‑conformances identified during audits or inspections.

Develop measures of success, track performance, communicate results, develop action plans to improve.

Lead and coordinate internal ISO 9001 audits, including preparation, execution, findings follow‑up, and documentation.

Support the maintenance and continuous improvement of the QMS in accordance with ISO 9001 standards

Serve as a key liaison during UL audits and inspections, ensuring product compliance with UL requirements.

Manage vendor quality relationships, including regular reviews, audits, and continuous improvement initiatives to ensure supplier alignment with ACT's quality standards and objectives.

Collaborate with suppliers and internal stakeholders to proactively address potential quality issues, streamline communication, and facilitate timely resolution of vendor‑related manufacturing challenges

All other duties as required.

Skills / Other:

Ability to travel domestically and internationally, up to 50%.

Ability to communicate information clearly and directly, both verbally and in writing.

Analytical thinker.

Clear communicator. Able to provide training for assembly and service technicians.

Computer proficiency with MS Office Suite.

Working knowledge of the Electrical/Electronics manufacturing industry.

In-depth knowledge of ISO 9001 quality standards and audit processes.

Experience with UL certification and audits.

Detailed knowledge in manufacturing processes utilizing Electronic Assemblies, PCBA's construction design/manufacturing, and testing of electronic products.

Experience:

5+ Years direct experience with electronic manufacturing.

Experience with quality control and failure analysis.

Experience with PLM, PDM, ECO, and BOM tools and processes.

Experience with statistical tools, including but not limited to, SPC, process capability analysis, DOE, DFSS.

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