ENGINEER, NAND SILICON DESIGN VALIDATION

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.