AI-Driven Semiconductor Test Development Engineer

Micron Technology, Inc.

Batu Kawan

On-site

MYR 36,000 - 58,000

Full time

2 days ago
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Job summary

Micron Technology, Inc. is seeking a fresh graduate for test engineering focused on first-silicon validation and DRAM product testing in Penang.

The role emphasizes developing and maintaining automated test programs, optimizing test coverage, and applying AI/ML techniques to large test datasets for improved yield and reliability. The position involves collaboration with engineering and manufacturing teams, implementation of AI-assisted tools, and continuous adoption of new data analytics

Qualifications

  • Fresh graduates welcomed in Electrical/Electronics/Computer Engineering or Computer Science fields.
  • Strong programming skills; C/C++ a plus.
  • Knowledge of Python for test automation, data processing, and analytics.

Responsibilities

  • Design new test programs for first-silicon validation of new products and tech startups.
  • Develop and maintain test programs for DRAM products to meet specs and analyze returns.
  • Optimize test programs to reduce test time and costs.
  • Automate test and engineering processes with scripts and tools to boost productivity.
  • Explore AI-assisted engineering tools to improve software development and debugging.
  • Apply data analytics and AI techniques to large semiconductor test datasets for root-cause analysis.

Skills

C/C++
Python
Unix/Linux
AI/ML concepts
Generative AI tools
Data analytics
Communication skills

Education

Bachelor's or Master's in Electrical/ Electronics/ Computer Engineering or Computer Science

Tools

Python scripting
AI tools

Job description

Micron Technology, Inc. is seeking a fresh graduate for test engineering focused on first-silicon validation and DRAM product testing in Penang.

The role emphasizes developing and maintaining automated test programs, optimizing test coverage, and applying AI/ML techniques to large test datasets for improved yield and reliability. The position involves collaboration with engineering and manufacturing teams, implementation of AI-assisted tools, and continuous adoption of new data analytics

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