Overview
Manufacturing Quality Engineer Jobs in Greater Indianapolis at Compunnel Inc.
Title: Manufacturing Quality Engineer
Company: Compunnel Inc.
Location: Greater Indianapolis
3 Must-Haves:
3+ years of experience in quality engineering, quality assurance, or a similar role.
“Hands on” problem solving in a hardware manufacturing environment.
Collaborating with operations managers to develop and implement controls and improvements.
Job Summary:
Determines quality improvement parameters by identifying statistical methods relevant to manufacturing processes. Establishes statistical confidence by identifying sample size and acceptable error, and determining levels of confidence.
We are looking for a Quality Engineer to monitor and improve the quality of our operational processes and outputs. The Quality Engineer’s responsibilities include designing quality standards, inspecting materials, equipment, processes, and products, developing quality control systems, and determining corrective actions. You will also work with managers and supervisors to implement quality measures.
A successful Quality Engineer should have excellent troubleshooting skills and be able to ensure that processes and products consistently meet established quality standards.
Quality Engineer Responsibilities:
• Developing and implementing quality standards.
• Developing and implementing quality control systems.
• Monitoring and analyzing quality performance.
• Inspecting and testing materials, equipment, processes, and products to ensure quality specifications are met.
•Collaborating with operations managers to develop and implement controls and improvements.
•Investigating and troubleshooting product or production issues.
• Developing corrective actions, solutions, and improvements.
Quality Engineer Requirements:
• Bachelor’s degree in quality, engineering or science.
• 3+ years of experience in quality engineering, quality assurance, or a similar role.
PREFERRED QUALIFICATIONS:
• Knowledge of ISO 9001 or 13485.
• Strong problem solving skills and familiarity with techniques such as 5 why’s, 8D, pareto analysis, Design of Experiments, DMAIC, and others.
