Senior Test Engineer – AI-Driven NAND Validation

Micron Technology; Petaling Jaya; On-site; MYR 90,000 - 120,000; Full time

Job summary

Micron Technology in Malaysia seeks a test engineer to develop and enable alternate test platforms, expand test coverage with sophisticated customer use cases, and reduce test cost while validating NAND features and commands on high-speed tester hardware.

You will perform electrical failure analysis, investigate root causes with cross‑functional teams, monitor performance during AQL testing, and leverage Python/C/C++ and data analytics to automate programs and processes.

Qualifications

• Bachelor’s degree in Electrical, Electronics or Computer Engineering or related field.
• Course work or work experience in Python/C/C++, semiconductor physics, data analytics and statistics is required.

Responsibilities

• Develop and enable alternate test platforms to improve test coverage and test cost.
• Develop and maintain characterization and qualification test programs from datasheet and customer specs.
• Design novel test algorithms and develop test programs for validating NAND features and commands.
• Perform functional and design validation of new NAND on high-speed tester hardware.
• Explore continual improvement in characterization and validation methods aligned with customer needs.
• Monitor NAND performance during AQL testing in product development and qualification.
• Perform Electrical Failure Analysis and investigate root causes with cross-functional teams.
• Leverage AI to automate program development and work processes where possible.

Skills

Python

C/C++

Semiconductor physics

Data analytics

Statistics

Education

Bachelor’s degree in Electrical/ Electronics/ Computer Engineering

Job description

Micron Technology in Malaysia seeks a test engineer to develop and enable alternate test platforms, expand test coverage with sophisticated customer use cases, and reduce test cost while validating NAND features and commands on high-speed tester hardware.

You will perform electrical failure analysis, investigate root causes with cross‑functional teams, monitor performance during AQL testing, and leverage Python/C/C++ and data analytics to automate programs and processes.