Product and Quality Performance Engineer for an Environmental Sensor company in Newark, Ca

SQL, Python
Full Time
Depends on Experience
Work from home not available Travel not required

Job Description

Product and Quality Performance Engineer for an Environmental Sensor company in Newark, Ca.


Looking for a self-motivated individual to spearhead yield, quality, performance and cost improvement of leading-edge environmental sensing systems from new product introduction through high-volume manufacturing through statistical analysis of data.


  • Hands-on drive company profitability through product distribution tightening, cost of non-quality reduction (yield improvement), and productivity and quality improvement based on the analysis of in-line SPC, final test, reliability, and physical analysis data.
  • Map yield losses and reliability failures unambiguously back to root cause ( Red X ) based on statistical analysis of data. Prioritize and drive corrective action plans in conjunction with in-house and supply-chain partner engineering, quality, production, and test teams.
  • Define and implement appropriate test processes and equipment capability studies for first-in-kind environmental sensor test systems in conjunction with test, process, and product engineers. Identify the statistical techniques required for establishing, controlling and verifying test and in-line SPC capability and characteristics in conjunction with test and process engineers.
  • Support operations and test excellence improvements in all areas as required.

Required Skillsets

  • Min 3 years work experience in an industrial setting. Very strong statistical analysis and experimental design capability.
  • Solid competency in extracting and organizing data and statistics in SQL.
  • Strong working knowledge of Python, JMP, R, or other statistical languages. Willingness to learn Python.
  • Strong collaborative and team work attributes with active communication and good documentation skills.
  • Hands-on analytic personality.
  • Effective, collaborative, 360 management skills.
  • Ability to support international travel up to 25% of the time. May require travel 1 week per month.
  • Degree in a Quantitative field (Statistics / Mathematics / Physics / Engineering / Accounting / Actuarial Sciences) or relevant experience

Desired Skillsets

  • Working knowledge of data mining algorithms including classifications techniques, probability networks, association rules, supervised and unsupervised clustering and Generalized Linear Regression.
  • Relational Database knowledge (SQL) with the ability to mine the data for anomalies, trends, outliers and correlations.
  • Semiconductor assembly process engineering experience.

Type: Full Time

Location: Newark, Ca

Posted By

Sandra Montes

901 Campisi Way, Suite 160 Campbell, CA, 95008

Dice Id : 10365912
Position Id : Prod_QA
Originally Posted : 1 month ago
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