PEE Engineer

Micron Technology; Ahmedabad District; On-site; INR 900,000 - 1,200,000; Full time

Job summary

Micron Technology, Inc in India is seeking an ASSY Process/Equipment Engineer to start up, develop, and optimize assembly processes for higher quality and reliability. You will lead yield improvement, cost reduction, and risk management initiatives while applying failure analysis and DOE to drive process changes.

The role involves collaborating with suppliers and digital teams on AI-enabled dashboards and data-driven decisions.

Qualifications

• Bachelor's/Master's/PhD in Electronic, Mechanical or Mechatronic Engineering or related field.
• Minimum 2 years in Assembly packaging or semiconductor manufacturing.
• Knowledge of Wafer Dicing Processes.
• FMEA, SPC and structured problem solving experience.
• DOE experience is a plus.
• Self-motivated with good communication and teamwork.

Responsibilities

• Evaluate and improve assembly processes, materials, and/or equipment; maintain in-depth process knowledge.
• Maintain materials and equipment knowledge and their interaction with the process.
• Optimize process/equipment variables using DOE techniques.
• Define process edges and center the process (CPK).
• Determine root cause and implement corrective actions.
• Define and maintain operation procedures.
• Leverage AI/ML and data analytics to predict yield trends and enable predictive control.

Skills

FMEA

SPC

DOE

Education

Electronic/Mechanical/Mechatronic Engineering (Bachelor/Master/PhD)

Tools

MES

Job description

ASSY Process/Equipment Engineer

As a ASSY Process/Equipment Engineer, you will be primarily responsible for starting up, developing and optimizing processes to improve product quality and reliability, working on process yield improvement, cost reduction, productivity improvement and risk management as well as resolving manufacturing line problems. You will also be required to identify, diagnose and resolve assembly process related problems by applying failure analysis, FMEA, 8D or SPC methodology. Additional responsibilities include coordinating and carrying out process, equipment and material evaluation/optimization to implement changes at process step, leading and participating in yield improvement and cost reduction activities, handling new process baseline qualifications and managing, auditing and liaising with material suppliers to achieve quality, cost and risk management objectives, while integrating AI and data‑driven methodologies to enhance process understanding, enable predictive control, and accelerate decision‑making in high‑volume manufacturing.

Responsibilities and Tasks

• Evaluate and improve assembly processes, materials, and/or equipment and maintain in-depth process knowledge
• Maintain materials and equipment knowledge as it relates to the process and how they interact
• Optimize process and/or equipment variables by applying DOE techniques
• Maintain knowledge of material attributes (shelf life, storage requirements, etc.)
• Define process edges and center the process (CPK)
• Determine root cause and implement corrective actions
• Define and maintain operation procedures

AI & Data-Driven Enablement

• Leverage AI/ML and analytics to:
  • Predict yield trends and detect early excursions
  • Identify hidden process correlations and variation drivers
  • Enable predictive process control and anomaly detection
• Utilize MES, equipment, and yield data to drive insights
• Collaborate with digital teams to deploy AI-enabled dashboards/tools

Requirements

• Bachelor's or Masters degree or PhD in Electronic, Mechanical, Mechatronic or related Engineering
• Minimum 2 years related experience in Assembly packaging or Semiconductor manufacturing background
• Possess good knowledge in Wafer Dicing Processes
• Familiar with Failure Mode Effects Analysis (FMEA), Statistical Process Control (SPC) and problem solving skills
• Knowledge in Design Of Experiment (DOE) will be an added advantage
• Self‑motivated, possess initiative and ability to work independently
• Team player with good communication and interpersonal skills

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Please contact [e-mail] for assistance with the application process and/or reasonable accommodations.