Quality Reliability R&D Engineer
Intel Corporation
San Jose, CR
hace 4 días

Job Description

Quality Reliability R&D Engineer develops, applies and maintains quality and reliability standards for processing materials into partially finished or finished product.

Evaluates the materials process and techniques used in production to meet the requirement of products and production equipment.

Specifies inspection and testing mechanism, conducts quality assessment up to and including audits and performs statistical analysis to determine the responsibility for products and systems that do not meet required specifications.

Delivers standardization in product qualification, manufacturing quality systems and methods. Provides feedback to Business Units Technology Development and / or partner engineering group on design or method and statistical process control procedures, including manufacturing systems in High Volume Manufacturing.

Determines reliability requirements and automated screening methodologies of components and systems to achieve company customer and any governmental agency reliability objectives.

Develops new acceleration techniques, analytical tools and quality screens to assure the early identification of potential problems with new products packaging processes and product quality reliability.

Responds to customer requests or events as they occur. Makes recommendations for changes in design or formulation to improve system and / or process product reliability.

Qualifications

Minimum Qualifications :

  • Candidate must possess a Bachelors degree in Materials Science, Electrical Engineering, Computer Science, Chemical Engineering, Physics or related field.
  • 3+ years of experience in product reliability and related data analysis / data science concepts.
  • Advanced English level, written and spoken.
  • Preferred Qualifications :

  • The candidate will have strong understanding of reliability mechanisms and failure modes.
  • Experience in Defect Per Million modeling and product level fail rollups.
  • Experience in empirical data collection and statistical data analysis, reliability statistics and design of experiments.
  • Knowledge of semiconductor fabrication test and / or assembly packaging processing and associated materials.
  • Knowledge of High Volume Manufacturing flow test and patterns.
  • Experience in Product reliability, high proficiency in statistics and data analysis.
  • Excellent communication skills and ability to drive cross functional teams to a common goal.
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