Our vision is to transform how the world uses information to enrich life for all.
Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.
Job Summary:
We are looking for an Engineer/Senior Engineer in Product Engineering, NAND Validation/Characterization , specializing in functional and design validation/Characterization of advanced NAND products . Experienced in silicon and simulation‑based validation, electrical failure analysis, and cross‑functional issue closure. Strong focus on automation, data‑driven validation, and applied AI/ML techniques to improve test efficiency, coverage, and debug productivity.
Main Responsibilities:
Designed and executed functional and design validation flows for advanced RG NAND devices using silicon and simulation platforms
Developed deterministic usage‑case tests and random sequence generators to validate NAND commands and customer‑mode features
Performed electrical failure analysis of issues seen, root‑cause investigations (including digital and analog circuitry), and drove issue resolution with cross-functional teams
Characterization of NAND performance including timing and power parameters, with the latest NAND ONFI interface standards
Conducted simulation studies using Verilog and Synopsys VCS to support debug and design verification
Implemented automation frameworks using C‑based programming, Python, and Perl to improve test development and execution efficiency
Applied AI/ML‑assisted techniques (data analytics, pattern recognition, anomaly detection) to: Accelerate failure triage and root‑cause analysis
Identify validation coverage gaps
Improve random sequence effectiveness and debug prioritization
Utilized data‑driven methods and dashboards to track validation progress, defect trends, and release readiness
For senior engineer, need to have at least 3–5 years of relevant professional working experience in a similar or related engineering role.
Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.
Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.
AI Responsibilities:
Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements
Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.
Minimum Required Qualifications/Experience
Bachelor’s or Master’s degree in Electrical/Electronic Engineering, Computer Engineering, or a closely related semiconductor-focused discipline .
Relevant experience in NAND Flash product engineering, device validation, electrical characterization, or silicon test/debug .
Working knowledge of NAND architecture, device operation, electrical parameters, and validation methodologies .
Hands-on experience in NAND test program development, debugging, and characterization using Nextest Magnum 5 and Magnum 7 automated test equipment (ATE) .
Proven experience with Python-based data analysis, automation, and visualization for semiconductor test or characterization data .
Experience with AI/ML-based engineering analytics, anomaly detection, predictive modeling, or automated failure analysis .
Demonstrated ability to independently perform data-driven root-cause analysis and technical problem solving for NAND products .
Must Have Technical…