CST-6884

Oneco 1 • San Mateo, CA

4d

About The Position

Quality Engineering Job Responsibilities: Provides statistical information for quality improvement by identifying testing methods and samples. Quality Engineering Job Duties: Determines quality improvement parameters by identifying statistical methods relevant to manufacturing processes. Establishes statistical confidence by identifying sample size and acceptable error; determining levels of confidence. Establishes statistical reliability by using mean time before failure, weibull 3-parameter distribution, reliability modeling, and reliability demonstration tests. Develops experiments by applying full and fractional factorial techniques. Develops sampling plans by applying attribute, variable, and sequential sampling methods. Maintains statistical process controls by applying demerit/unit, zone charting, x2 charts for distributions and individual-medial/range for multistream processes. Analyzes data by completing hypothesis, normal distribution, and process capability analysis tests. Prepares reports by collecting, analyzing, and summarizing data; making recommendations. Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of-the-art practices; participating in professional societies; maintaining american society of quality control certified quality engineer qualification. Contributes to team effort by accomplishing related results as needed.

Requirements

• Analyzing Information
• Reporting Research Results
• Technical Understanding
• Promoting Process Improvement
• Developing Standards
• Managing Processes
• Manufacturing Methods and Procedures
• Supports Innovation
• CAD
• Quality Engineering
• Operations Research

Responsibilities

• Provides statistical information for quality improvement by identifying testing methods and samples.
• Determines quality improvement parameters by identifying statistical methods relevant to manufacturing processes.
• Establishes statistical confidence by identifying sample size and acceptable error; determining levels of confidence.
• Establishes statistical reliability by using mean time before failure, weibull 3-parameter distribution, reliability modeling, and reliability demonstration tests.
• Develops experiments by applying full and fractional factorial techniques.
• Develops sampling plans by applying attribute, variable, and sequential sampling methods.
• Maintains statistical process controls by applying demerit/unit, zone charting, x2 charts for distributions and individual-medial/range for multistream processes.
• Analyzes data by completing hypothesis, normal distribution, and process capability analysis tests.
• Prepares reports by collecting, analyzing, and summarizing data; making recommendations.
• Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of-the-art practices; participating in professional societies; maintaining american society of quality control certified quality engineer qualification.
• Contributes to team effort by accomplishing related results as needed.

What This Job Offers

• Education Level: No Education Listed