Quality Engineer: Data-Driven Reliability & Optimization

Oneco 1; San Mateo (CA); On-site; USD 90,000 - 120,000; Full time

Job summary

Oneco 1 is seeking a Quality Engineer to apply statistical methods for process improvement in our California facility. The role focuses on sampling, reliability analysis, and SPC-driven quality enhancements.

The candidate will develop experiments, analyze data across multiple distributions, and prepare actionable reports. Strong knowledge of ASQ CQE practices and continuous improvement is preferred.

Qualifications

• Analyzing information and reporting research results are core capabilities.
• Experience applying statistical methods to manufacturing processes.
• Familiarity with quality engineering standards and operations research concepts.

Responsibilities

• 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 MTBF, Weibull distribution, reliability modeling, and reliability demonstration tests.
• Develops experiments using full and fractional factorial designs.
• Develops sampling plans using attribute, variable, and sequential sampling methods.
• Maintains SPC by applying demerit/unit, zone charting, x-bar and R charts for distributions and multistream processes.
• Analyzes data via hypothesis testing, normal distribution, and process capability analysis.
• Prepares reports by collecting, analyzing, and summarizing data; making recommendations.
• Maintains professional knowledge by workshops, publications, and professional societies; ASQ CQE certification.

Skills

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

Tools

CAD

Job description

Oneco 1 is seeking a Quality Engineer to apply statistical methods for process improvement in our California facility. The role focuses on sampling, reliability analysis, and SPC-driven quality enhancements.

The candidate will develop experiments, analyze data across multiple distributions, and prepare actionable reports. Strong knowledge of ASQ CQE practices and continuous improvement is preferred.