Engineer, GQ Ops IE Modeling and Automation

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.

Key Responsibilities

• Own the process for end-to-end management of reliability stress tests and package qualification activities (e.g., thermal cycling, HAST, HTS, CSAM), ensuring timely and high-quality delivery
• Maintain and improve process of record (POR) for assigned reliability tests, ensuring adherence to SOPs and quality management systems.
• Lead qualification and process buyoff for new equipment or layout changes; coordinate with Facilities and GEL in enablement.
• Define process windows, control plans, and reaction mechanisms to prevent excursions and maintain product integrity.
• Drive continuous improvement initiatives to enhance throughput (TAT), process stability
• Collaborate with cross-functional teams including Quality, NPI, Product Engineering, and Equipment Engineering to support qualification
• Ensure compliance with quality standards, audit requirements, and EHS guidelines in lab operations
• Analyze process performance data, identify trends, and drive corrective actions for continuous improvement. statistical and AI‑assisted techniques
• Leveraging AI, Generative AI, and AI Assistants (e.g., Copilot, LLMs, Agentic AI) to automate reporting, dashboards, and workflow approvals, improving efficiency through AI-enabled and AI-augmented solutions.
  Integrate AI solutions with lab systems (Power BI, SharePoint, automation workflows) and drive scalable AI use-case identification and implementation across sites using Cloud Assist, Code Assist, and Agentic Solutions.

Qualifications

• Bachelor’s or master’s degree in mechanical, Electrical & Electronics, or any related engineering discipline.
• Understanding in semiconductor backend or reliability lab processes
• Understanding in reliability tests such as thermal/humidity stress, temperature cycling, and reflow; and/or device reliability test such as HTOL, ELFR, HNBTI etc.
• Familiarity with quality systems, process control, and audit requirements.
• Excellent problem-solving and communication skills.
• A mindset that emphasizes continuous improvement and striving for excellence.
• Candidates with 0-2 years experience can apply

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 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.   

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