Product Quality and Reliability Engineer

India·Bangaloremid

EngineeringReliability Engineer

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EngineeringReliability Engineer

The Product Quality and Reliability Modeling Engineer develops reliability models and risk assessments that enable successful qualification and launch of advanced semiconductor products. Working across Product Quality & Reliability, Design, Process, Manufacturing, and Foundry teams, this role applies device physics, reliability engineering, statistical analysis, and data science to predict product reliability, identify risks, and drive data-driven decisions throughout the product lifecycle.

Responsibilities

~1 min read

→Develop and execute reliability models to assess product lifetime and qualification readiness.
→Evaluate failure mechanisms including EM, TDDB, BTI, HCI, thermal and package-related degradation.
→Analyze qualification, characterization, and manufacturing data to quantify reliability risk.
→Conduct reliability projections, scenario analysis, and risk assessments for new product features and technologies.
→Drive cross-functional investigations and resolution of reliability concerns.
→Improve modeling methodologies, automation, and predictive analytics capabilities.
→Present reliability recommendations to technical and management stakeholders.

Requirements

~2 min read

MS or PhD in Electrical Engineering, Physics, Materials Science, Reliability Engineering, or related field.
Experience of 2-5 years with M.Tech/Phd and B.tech with 5+ years.
Strong understanding of semiconductor device physics and advanced packaging.
Experience in reliability modeling, accelerated stress testing, and qualification methodologies.
Knowledge of EM, TDDB, BTI, HCI, package reliability, and wear-out mechanisms.
Proficiency with Python, JMP, MATLAB, Minitab, or equivalent analytical tools.
Strong statistical, problem-solving, and communication skills.
Experience in reliability validation, product development, test engineering.

Experience supporting PRQ/qualification decisions.
Experience with advanced node or advanced packaging technologies.
Knowledge of AI/ML techniques for reliability prediction.
Demonstrated technical leadership across complex product programs.

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.