Product Development Engineering Engineer - Memory Health (Sep 2026)

Afterschool; Malaysia; On-site; MYR 48,000 - 72,000; Full time

Job summary

Afterschool in Malaysia is seeking a Product Development Engineer to focus on NAND memory reliability and failure analysis. The role involves evaluating DPPM, designing reliability tests, and supporting R&D efforts. Candidates should be pursuing a PhD, Masters, or Bachelor's degree in Electronics or related fields, with skills in circuit analysis and an interest in statistical methods. This position offers a dynamic tech environment with opportunities for collaboration across engineering teams.

Qualifications

• Pursuing studies in relevant degree programs.
• Skills in electronic circuit analysis and wafer fabrication.
• Keen interest in device and statistical analysis.

Responsibilities

• Responsible for NAND memory DPPM evaluations and Failure Analysis.
• Design and develop reliability sequences and execute tests.
• Involved in DPPM study and electrical failure analysis.

Skills

Electronic circuit analysis

Wafer fabrication

Statistical analysis

Big data

Education

PhD, Masters, or Bachelors Degree in Electronic, Microelectronic, Materials, or related field

Job description

Join Sandisk as a Product Development Engineer focusing on NAND memory reliability and failure analysis in a cutting-edge technology environment.

Your Role

Here’s what you will be doing:

• Responsible for NAND memory DPPM evaluations and Failure Analysis.
• Designing and developing reliability sequences for given technology nodes and executing reliability tests.
• Active involvement in DPPM study, characterization and resolution, electrical failure analysis, screen development, and fab process countermeasures.
• Support R&D, DPPM improvement, test documentation, and NAND device knowledge development.
• Use various bench equipment such as oscilloscopes, logic analyzers, and multimeters.
• Collaborate with other engineering groups.

About You

The company is looking for:

• Pursuing studies in PhD, Masters, or Bachelors Degree in Electronic, Microelectronic, Materials, or related field.
• Skills in electronic circuit analysis, wafer fabrication, statistical analysis, and big data.
• Keen interest in device and statistical analysis is an added advantage.