Senior NAND Product Development Engineer (for Validation)

As a NAND Product Development Engineer, you will be responsible for product validation, product test flow development, product characterization, data analysis and failure analysis to assure the next generation 3D NAND products meet all quality and reliability requirements and specs.

Responsible for leading the validation, characterization, and production readiness of NAND memory products from early development through production ramp. Drives the development and execution of validation strategies to ensure product quality, reliability, manufacturability, and test coverage throughout the product lifecycle.

Key responsibilities include

• Lead product validation, characterization, and specification compliance activities for NAND memory products.
• Define validation methodologies, test plans, coverage strategies, and qualification requirements.
• Develop, automate, and debug complex validation and characterization test solutions using software and hardware platforms.
• Design, develop, and maintain software tools for data collection, analysis, automation, and test execution using languages such as Python, C, and C++.
• Analyze silicon behavior, performance, reliability, and parametric data to identify root causes and drive corrective actions.
• Collaborate with design, firmware, process integration, product engineering, reliability, manufacturing, and quality teams to resolve product issues and improve yield.
• Evaluate component specifications against manufacturing and test equipment capabilities to ensure robust production margins and optimal test efficiency.
• Drive yield improvement initiatives through statistical analysis, failure analysis, characterization studies, and data-driven decision making.
• Investigate customer returns and field issues, identify test coverage gaps, and lead test-hole closure activities.
• Develop production screening methodologies, guard band strategies, and test optimizations that balance quality, cost, and manufacturing efficiency.
• Mentor junior engineers and provide technical leadership on validation methodologies, tools, and best practices.
• Leverage Agentic AI and advanced analytics tools to improve engineering productivity, automate workflows, accelerate root-cause analysis, and enhance validation coverage.
• Independently manage priorities, drive projects to completion, and communicate technical results to cross-functional and executive stakeholders.

Required

• Bachelor's degree in Electrical Engineering, Physics, Materials Science, Microelectronics, Computer Engineering, or a related field.
• 10+ years of semiconductor industry experience.
• 5+ years of hands-on experience with memory products, including architecture, product operation, characterization, validation, and specification compliance.
• Strong understanding of semiconductor device physics, solid-state physics, and reliability fundamentals.
• Knowledge of semiconductor manufacturing processes and product qualification methodologies.
• Experience with silicon characterization, electrical validation, and failure analysis techniques.
• Strong statistical analysis and data interpretation skills.
• Proficiency in Python and at least one additional programming language such as C or C++.
• Experience developing automation frameworks, data analysis tools, and validation infrastructure.
• Demonstrated ability to solve complex technical problems using structured, data-driven approaches.
• Experience working effectively in cross-functional engineering teams.
• Strong written, verbal, presentation, and technical communication skills.
• Proficiency with AI-assisted engineering tools, Agentic AI workflows, and engineering productivity platforms.
• Professional English proficiency.

Preferred

• Master's degree or PhD in Electrical Engineering, Physics, Materials Science, Microelectronics, Computer Engineering, or related discipline.
• Experience validating advanced NAND technologies, SSD products, or memory subsystems.
• Hands-on experience applying Agentic AI solutions to real-world engineering, validation, characterization, or automation challenges.
• Experience with Git, Linux/Unix environments, and modern software development practices.
• Experience using GitHub Copilot, VS Code Copilot, Microsoft Copilot, or similar AI-assisted development tools.
• Familiarity with machine learning, data analytics, and large-scale engineering data processing.
• Prior technical leadership, project leadership, or mentoring experience.

Working Conditions

This position is primarily office-based with standard working hours from 8:00 AM to 5:00 PM, Monday through Friday. The role operates in a collaborative, fast-paced engineering environment and requires the ability to manage multiple technical projects simultaneously. Occasional support of lab activities, manufacturing operations, customer engagements, or international collaboration may be required.

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