Product Test Development Engineer (DRAM)

1850 Micron Memory Malaysia SD; Penang; On-site; MYR 70,000 - 110,000; Full time

Job summary

Micron Technology, Inc. in Malaysia is seeking a fresh graduate to design and develop test programs for DRAM products, focusing on first-silicon validation and performance characterization.

The role involves automating test processes, applying AI-enabled techniques, and collaborating across engineering teams to enhance yield and efficiency. You will work on optimizing test coverage, leveraging AI/ML tools for data analytics, and supporting manufacturing goals while ensuring data integrity and

Qualifications

• Fresh graduate welcomed to apply.
• Strong programming skills in C/C++ and Python.
• Familiarity with Python scripting for test automation and data processing.
• Solid analytical and structured problem-solving abilities.
• Excellent verbal and written communication across engineering groups.
• Good understanding of semiconductor device physics is a plus.
• Experience with Unix/Linux environments.
• Knowledge of AI/ML concepts and practical applications in engineering is a plus.
• Experience using generative AI or AI-assisted tools for coding, debugging, or data analysis.
• Knowledge of Python-based data science or ML libraries.
• Willingness to learn emerging AI technologies to improve productivity.

Responsibilities

• Design new test programs for first-silicon validation of new products and technology startups.
• Develop and maintain test programs for DRAM products to meet specs and analyze returns.
• Optimize test programs to reduce test time and manufacturing costs.
• Automate test and engineering processes with scripts and tools.
• Enhance test coverage to ensure outgoing quality and customer satisfaction.
• Leverage AI-assisted tools to improve development, testing, and productivity.
• Explore AI/ML-based approaches for test-data analysis and anomaly detection.
• Analyze large semiconductor test datasets to accelerate root-cause analysis.
• Integrate AI/automation into test engineering workflows with data integrity and security in mind.
• Collaborate with product and equipment engineering to maximize yield and ROI.
• Work with test capacity and manufacturing to meet output goals.
• Develop and monitor process metrics for test processes.
• Continuously explore new AI and automation technologies for semiconductor testing.

Skills

Strong programming skills

C/C++ knowledge

Python scripting

Analytical problem solving

Verbal and written communication

Education

Bachelor’s or Master’s Degree in Electrical/ Electronics/ Computer Engineering or Computer Science

Tools

Unix/Linux environments

Python data science libraries

Job description

Responsibilities

• Design new test programs for first-silicon validation of new products and technology startups, providing critical feedback to appropriate engineering teams to refine device quality, reliability, and performance.
• Develop and maintain test programs for DRAM products to meet customer specifications, device performance characterization needs, and analysis of customer returns.
• Optimize test programs by applying efficient testing methodologies to reduce product test time, improve throughput, and lower manufacturing costs.
• Automate test and engineering processes by developing software scripts and tools to improve productivity, consistency, and engineering efficiency.
• Enhance test coverage and methodologies to ensure excellent outgoing quality and customer satisfaction.
• Leverage AI-assisted engineering tools, including generative AI, to improve software development, test-program development, debugging, documentation, and engineering productivity.
• Explore and develop AI/ML-based approaches for test-data analysis, pattern recognition, anomaly detection, failure analysis, and identification of potential yield or test-process improvement opportunities.
• Apply data analytics and AI techniques to large semiconductor test datasets to accelerate root-cause analysis and engineering decision-making.
• Evaluate opportunities to integrate AI and automation into existing test engineering workflows while ensuring engineering validation, data integrity, security, and responsible use of AI-generated outputs.
• Cooperate with product and equipment engineering departments to improve overall product yield and develop customized solutions from available test capabilities to maximize return on investment.
• Collaborate with test capacity and manufacturing departments to achieve output and production goals.
• Develop and monitor process and engineering metrics to ensure the stability, efficiency, and effectiveness of test processes.
• Continuously explore emerging AI, data analytics, and automation technologies that can improve semiconductor test engineering capabilities and manufacturing effectiveness.

Requirements

• Fresh graduate with Bachelor’s or Master’s Degree in Electrical Engineering, Electronics Engineering, Computer Engineering, Computer Science, or a related engineering field are welcomed to apply.
• Strong programming skills; knowledge of C/C++ is an added advantage.
• Knowledge of scripting languages such as Python is an added advantage, particularly for test automation, data processing, and engineering analytics.
• Solid analytical and structured problem-solving skills, with the ability to analyze complex semiconductor test and manufacturing data.
• Excellent verbal and written communication skills with the ability to collaborate effectively across engineering and manufacturing organizations.
• Good understanding of semiconductor device physics is an added advantage.
• Knowledge of Unix/Linux environments is an added advantage.
• Familiarity with AI/ML concepts and their practical applications in engineering, data analytics, automation, or semiconductor manufacturing is an added advantage.
• Experience using generative AI or AI-assisted software development tools for coding, debugging, data analysis, documentation, or engineering problem-solving is an added advantage.
• Knowledge of Python-based data science or machine-learning libraries and techniques for analyzing engineering datasets is an added advantage.
• Strong interest and willingness to learn and adopt emerging AI technologies to improve engineering productivity, test development, and problem-solving.
• Ability to critically evaluate AI-generated results and apply sound engineering judgment before implementation in production or manufacturing environments.

About Micron Technology, Inc.

We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.

To learn more, please visit micron.com/careers

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. To request assistance with the application process and/or for reasonable accommodations, please contact [e-mail] Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.