Micron Technology

Senior Engineer, NAND Silicon Design Validation

Micron Technology
Integrated Device ManufacturingSingapore, SingaporeOnsitePosted 1 month ago

About the role

AI summarised

The Senior Engineer, NAND Silicon Design Validation role at Micron involves developing, validating, and qualifying NAND Flash memory products across the full product lifecycle. Responsibilities include using CAD and Verilog for simulations, performing electrical failure analysis, characterizing devices on engineering benches, and integrating AI-assisted tools to improve engineering workflows. The role requires collaboration with R&D, design, manufacturing, business units, and quality assurance teams to resolve design-related issues and ensure product performance.

IDMOnsite

Key Responsibilities

  • Develop, validate, and qualify new innovative NAND Flash memory products
  • Define and validate product configuration parameters
  • Apply CAD tools and Verilog simulations for build verification and in-depth circuit analysis
  • Identify build marginalities and recommend circuit-related fixes
  • Perform electrical failure analysis to determine root causes of device issues
  • Use engineering benches and testers for device characterization and failure analysis
  • Support preparation of engineering samples
  • Integrate AI-assisted tools into daily work to improve efficiency and quality
  • Contribute to continuous improvement by sharing AI-enabled enhancements
  • Collaborate with R&D teams, designers, and various engineering departments to troubleshoot and validate device testing programs
  • Serve as the key point of contact for critical product-specific issues, ensuring a seamless interface between Research and Development, Manufacturing, Business Units, and Quality Assurance departments

Requirements

  • Bachelor’s/ Masters/ PhD degree in Electrical/Electronics Engineering is required
  • Knowledge in semiconductor device physics and circuit building
  • Hands-on experience with Verilog and Cadence tools
  • Familiarity with AI/ML efficiency tools to support engineering workflows
  • Proficiency in data analysis tools like JMP and Python
  • Excellent analytical and problem-solving skills
  • Effective communication skills for cross-functional collaboration
  • Ability to work independently in a fast-paced environment
  • High attention to detail with a dedication to quality and continuous improvement
  • Team-oriented and adaptable in dynamic environments with stringent qualification requirements
  • Baseline digital proficiency and AI literacy for responsible use of AI-enabled tools