Node Development Product Engineer
Confirmed on the employer's own hiring board on Nov 7, 2026. First seen by Alion on Sep 14, 2026. Micron Technology scores A on the Alion truth index.
Our vision is to transform how the world uses information to enrich life for all.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
As a Product Engineer in DRAM Technology Node Development, the role is responsible for bringing up new technology from design start through qualification and production ramp while co-optimizing product and process.
Primary Responsibilities
Enable new process node startup, qualification, yield and ramp.
Provide direction to development teams using process integration knowledge.
Develop technology health metrics and drive learning.
Work with Design, TD, DFT, Manufacturing and Quality teams.
Perform electrical failure analysis and yield improvement activities.
Identify design marginalities and recommend fixes.
Perform deep statistical analysis to improve product yield.
Process-Device Integration & Failure Mechanism Diagnosis
Collaborate with Process Integration, TD, Design, Test, and Reliability teams to identify yield-limiting mechanisms and propose corrective actions.
Conduct electrical failure analysis (bench + probe) to isolate circuit, array, or process-originated signatures.
Interpret data from proprietary internal tools (e.g., FRPT/efrpt, csensei, Node Dev analysis workflows).
Test Program & Probe Flow Development
Guide probe program correctness by correlating design intent, simulation data, and production test behavior. Identify test mode mis-configurations, inaccurate blanket trims, or VTC parameter settings and drive updates.
Silicon Validation & Data Infrastructure
Use Micron-specific silicon validation environments, proprietary lab equipment, and internal automation scripts to assess device performance.
Cross-Functional Technical Leadership
Collaborate across global engineering teams to ensure alignment on node quality, process windows, and product readiness criteria.
Communicate technical findings, risks, and requirements clearly to stakeholders in R&D and manufacturing sites.
Qualifications
Engineering degree.
DRAM architecture/process/test knowledge.
Yield-ramp and failure-analysis experience.
Strong JMP/Python capability.
Project management and presentation skills
Familiarity with AI tools and how to utilize AI for job functions. I.e. Claude and AI Assistant.
About Micron Technology, Inc.
We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich lifefor 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 at [email protected].
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.
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