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Engineer/Senior Engineer in Product Engineering, NAND Validation/Characterization

Micron

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Questions you are likely to be asked

  1. Why do you want to join Micron?
  2. What is your experience with Python? Tell me one thing you learned the hard way.
  3. What do you do when a production issue happens on your code?
  4. Walk me through a system you built. How was it designed, and what would you change now?
  5. Tell me about a hard bug you tracked down. How did you find the cause?

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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 Skills Test Algorithm & Program Development Silicon Debug & Electrical Failure Analysis Verilog, Synopsys VCS C/C++, Python, Perl Validation automation & workflow optimization Applied AI/ML for test analytics and defect pattern analysis Must Have Soft Skills Good problem solving and communication skill Independent debug/learn with minimum guidance For senior engineer, able to plan and led projects/taskforce as required. About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_sg@micron.com Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

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Listed on workday · posted 2026-10-17. ApplySarthi collects openings and links to application pages; the role is advertised by Micron, not by us.