Product Quality and Reliability Engineer

Intel; Bengaluru; Hybrid; INR 1,800,000 - 2,800,000; Full time

Job summary

Intel in Bengaluru is seeking a Product Quality and Reliability Modeling Engineer to develop reliability models and risk assessments that enable qualification and launch of advanced semiconductor products.

You will work across Product Quality & Reliability, Design, Process, Manufacturing, and Foundry teams using device physics, reliability engineering, statistics, and data science to predict product reliability and drive data-driven decisions throughout the lifecycle.

Qualifications

• MS or PhD in Electrical Engineering, Physics, Materials Science, Reliability Engineering, or related field.
• Experience of 2-5 years with M.Tech/PhD and BTech 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.

Responsibilities

• 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.

Skills

semiconductor device physics

advanced packaging

reliability modeling

accelerated stress testing

qualification methodologies

EM

TDDB

BTI

HCI

package reliability

wear-out mechanisms

Python

JMP

MATLAB

Minitab

statistics

problem solving

communication skills

reliability validation

product development

test engineering

AI/ML techniques for reliability

technical leadership

Education

MS/PhD in Electrical Engineering / Physics / Materials Science / Reliability Engineering

Tools

Python

JMP

MATLAB

Minitab

Job description

Overview

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

• 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.

Qualifications

Minimum Qualifications

• MS or PhD in Electrical Engineering, Physics, Materials Science, Reliability Engineering, or related field.
• Experience of 2-5 years with M.Tech/PhD and BTech 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.

Preferred Qualifications

• 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.

Ideal Candidate: A self-driven engineer capable of independently leading reliability assessments, influencing qualification decisions, and driving risk closure across multiple semiconductor product programs.

Job Details

• Job Type: Experienced Hire
• Shift: Shift 1 (India)
• Primary Location: India, Bangalore
• Additional Locations:

Posting Statement: All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Work Model for this Role: 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.