The posting
As an ENGINEER, NAND SILICON DESIGN VALIDATION at Micron, you will be part of an ambitious group committed to developing and validating top-tier NAND Flash memory products. This position is distinct since it covers both pre-silicon concept development and practical post-silicon validation. You will acquire a full understanding of the product lifecycle. You will work on modern technologies, conduct simulations, and compose detailed validation documentation. Your role will be key in identifying and resolving design-related problems to secure outstanding product performance.
Your responsibilities will encompass collaborating with R&D teams, designers, and various engineering departments to troubleshoot and validate device testing programs. You will be 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.
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
Minimum Qualifications & Experience
- A Bachelor’s degree in Electrical/Electronics Engineering is required.
- Experience in validation, design validation, or circuit/device design in the semiconductor industry.
Required Skills
- Strong foundation 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.



