Continuous Improvement Engineer

Siemens•Wendell, NC

7d•$83,966 - $143,942•Hybrid

About The Position

This is a hybrid Continuous Improvement Engineer role based in Wendell, NC at Siemens EA U.S. headquarters. Located in the heart of the Research Triangle about 20 minutes east of Raleigh, Wendell offers top-rated schools, a mild climate, easy access to mountains and coast, and a cost of living that allows our compensation to go further. Local candidates are encouraged to apply. Relocation assistance is available for eligible candidates. This is a unique opportunity to be at the forefront of establishing world-class engineering standards in a team that supports manufacturing in multiple locations across multiple countries. You will play a pivotal role in analyzing engineering workflows, elevate the engineering quality standards, and improving throughput. You will provide critical support to improve the quality of output from the engineering team, which is a crucial driver to scale up operations for the business unit. You will be directly responsible for modifying, establishing, and managing the quality control measures of our engineered-to-order (ETO) process, ensuring that custom drawings, bills of materials (BOMs), and all design documents are flawless before they hit the production floor.

Requirements

Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Industrial Engineering, or a closely related technical field.
Five (5) or more years’ engineering experience in an electrical equipment manufacturing environment (e.g., switchgear, transformers, power distribution) with a heavy emphasis on design quality, configuration management, or ETO process control.
Expertise in implementing and optimizing quality processes using automation.
Thorough understanding of the challenges unique to custom, engineered-to-order (ETO) engineering operations and workflow automation.
Strong leadership skills with the ability to guide and mentor multidisciplinary teams without direct authority.
In-depth knowledge and practical experience with Root Cause Analysis (8D, A3, Ishikawa) and CAPA processes.
Proficiency in process risk assessment methodologies (PFMEA, DFMEA)
Experience with tools and systems like SAP, Salesforce, and PowerBI.
Understanding and experience with ISO standards and auditing processes.
Willingness and ability to travel up to 20% based on business needs, including travel to other Siemens sites domestically and in Querétaro, Mexico.
Legally authorized to work in the United States on a continual and permanent basis without company sponsorship

Nice To Haves

Six Sigma Green Belt or Black Belt certification.
ASQ Certified Quality Engineer (CQE).
Experience with electrical products.

Responsibilities

Standardize ETO Quality Control: Own, modify, and closely implement the quality control measures for all engineered-to-order (ETO) deliverables, including 3D CAD models, electrical schematics, and wiring diagrams.
Proactive Defect Prevention: Implement Design Failure Mode and Effects Analysis (DFMEA) during the custom drafting phase to catch and mitigate engineering quality risks before production release.
Drive Root Cause Investigations: Lead structured Root Cause Analysis (RCA) using 8D, A3s, and 5-Why methodologies to trace shop-floor assembly or wiring defects back to the root design documents.
Close the Feedback Loop: Establish and handle a robust engineering change notice (ECN) process that feeds manufacturing floor realities directly into master CAD models, engineering templates, and design standards.
Error-Proofing: Work with design software administrators to implement digital error-proofing mechanisms within CAD, ERP/PLM tools, Artificial intelligence tools to automate rule-checking.
Quality Standards Implementation: Develop and implement rigorous quality standards for all phases of the ETO process.
Quality KPI Improvement: Lead efforts to continuously improve key Quality Performance Indicators (KPIs).
Audit Management: Represent and support audit processes based on ISO standards.
Communication & Representation: Effectively communicate quality requirements, improvement ideas, and performance data to diverse audiences, including engineering teams, senior management, and executive leadership.
Data Analysis & Reporting: Use sophisticated data analysis techniques to impact quality performance, identify trends, and predict potential issues. Develop and maintain dashboards using tools like Power BI, Tableau to provide clear, actionable insights and regular quality reports to management.