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Micron Technology

Makes memory and storage chips for AI and PCs

Engineer, GQ Ops IE Modeling and Automation

Full-TimeUpdated on 10/15/2026
No salary listed
Mid
Bachelor's
Singapore
In Person
Manufacturing & Process EngineeringManufacturing Engineering

About the job

Requirements
  • A bachelor's degree or higher in Industrial Engineering, Automation, Mechatronics, Electrical & Electronics, Mechanical Engineering, Computer Science, Data Science, or a related technical field.
  • Experience in automation, industrial engineering, manufacturing systems, planning, capacity modeling, data analytics, process improvement, or system deployment.
  • Strong understanding of AMHS, equipment automation, capacity planning, throughput, cycle time, bottleneck analysis, and productivity improvement.
  • Experience with data analysis or reporting tools such as Excel, SQL, Python, Power BI, Tableau, Power Platform, or equivalent.
  • Strong project execution, communication, stakeholder management, and problem-solving skills.
  • Ability to work effectively across GQ Ops, IE, Planning, Process Engineering, Automation, IT, Facilities, vendors, and global teams.
Responsibilities
  • Contribute to the GQ Ops automation transformation roadmap by identifying and implementing opportunities to reduce manual effort, improve quality and safety, enhance productivity, and strengthen operational consistency.
  • Survey, benchmark, and evaluate industry solutions, and translate suitable technologies into practical recommendations for a future-ready, scalable, and highly automated GQ Ops reliability lab.
  • Develop and implement equipment and process automation solutions, including laser mark automation, ALU, robotics, vision systems, workflow digitization, and other manual-touch reduction opportunities.
  • Partner with operations teams to define automation requirements, perform ROI analysis, support vendor technical specifications, and execute FAT/SAT/PAC buyoff activities.
  • Apply common standards and best-known methods across sites based on prototype learning and operational requirements.
  • Support AMHS integration to improve material movement, throughput, system reliability, and operational execution.
  • Serve as a technical point of contact for GQ Ops lab automation and AMHS activities.
  • Collaborate with IT, Automation, Process, Planning, and Operations teams to resolve system issues, improve uptime, and strengthen system performance.
  • Support AMHS hardware solutioning, layout optimization, tool-interface readiness, testing, and operational integration for future GQ Ops automation deployment.
  • Develop, maintain, and improve reliable, automated, and scalable planning systems.
  • Develop and maintain IE models for equipment capacity, PeakUtil%, throughput, cycle time, bottleneck analysis, and future ramp readiness.
  • Translate lab ramp, product loading, tool availability, and process-flow assumptions into practical capacity models and planning scenarios that support leadership decision-making.
  • Improve planning-tool adoption, model accuracy, data quality, and system performance across GQ Ops.
  • Translate operational needs into practical digital tools, dashboards, reports, and decision-support systems.
  • Collaborate with Planning and Operations teams to bridge the Plan-to-Performance gap through data analysis, structured feedback, and robust modeling.
  • Explore and implement practical AI/ML or advanced analytics use cases to improve planning accuracy, prediction, automation, and decision-making capability.
  • Support MSH greenfield reliability lab enablement by translating business ramp needs into future-ready layout, process flow, automation-readiness, and operational execution requirements.
  • Perform layout planning, total utility metric analysis, equipment evaluation, infrastructure-readiness tracking, and tool ODD alignment to support the HBM reliability lab ramp and long-term capacity needs.
  • Coordinate with GEL, Process Engineering, Planning, Facilities, Automation, and vendors on equipment requirements, utility readiness, installation priorities, tool readiness, and process-equivalency timelines.
  • Incorporate automation, AMHS, tool-interface requirements, and data-driven planning considerations early in lab design to reduce rework and improve scalability.
  • Contribute as a technical member of the GQ Ops central team and take ownership of assigned engineering deliverables.
  • Plan and execute automation, modeling, and system-improvement projects in alignment with agreed priorities, scope, and timelines.
  • Communicate automation impact, model outputs, system risks, technical findings, and improvement recommendations clearly to working teams and leadership.
  • Collaborate across sites to standardize best-known methods, transfer prototype learning, and scale proven automation solutions across GQ Ops.
  • Demonstrate innovation, accountability, continuous improvement, and data-driven problem-solving in daily work.
  • Integrate 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.
  • Contribute to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.
Desired Qualifications
  • Experience in semiconductor manufacturing, backend operations, reliability lab operations, automation deployment, or high-volume manufacturing.
  • Experience with robotics, AMHS, vision systems, auto-dispatching, workflow automation, or equipment integration.
  • Familiarity with automation protocols or standards such as SECS/GEM, E84, E87, or related factory automation interfaces.
  • Experience with ROI analysis, vendor technical specification review, FAT/SAT/PAC buyoff, and automation readiness assessment.
  • Exposure to Industry 4.0, AI/ML analytics, low-code automation, digital transformation, or smart manufacturing initiatives.
  • Demonstrated ability to independently own technical deliverables, collaborate across functions, and share knowledge with team members.

About the company

Micron Technology designs and manufactures memory and storage chips, mainly DRAM and NAND flash, used in data centers, PCs, phones, cars and industrial equipment. It is one of only three companies that make HBM, the stacked high-bandwidth memory placed beside processors in AI servers, and it is the largest memory chipmaker based in the United States. Unlike chip designers that outsource production, Micron runs its own fabs and assembly sites in the United States and across Asia. It earns money by selling chips, memory modules and solid-state drives to cloud providers, device makers and distributors. Micron was founded in 1978 and is headquartered in Boise, Idaho.

Company Size

10,001+

Company Stage

IPO

Headquarters

Boise, Idaho

Founded

1978

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Simplify Jobs

Simplify's Take

What believers are saying

  • Demand is surging: in September 2026, Micron reported fiscal 2026 revenue of $133.19 billion, up from $37.38 billion.
  • Boise is hiring: in August 2026, Micron planned about 3,500 direct jobs at two Idaho fabs opening from 2027.
  • Sales are locked in early: by October 2026, most of Micron's 2027 HBM supply was contracted at higher prices.

What critics are saying

  • Revenue is concentrated: about half of Micron's sales came from its top ten customers in each of three years.
  • Departing engineers face scrutiny: in September 2026, Micron sued rival YMTC for hiring away at least 20 engineers.
  • Boise is feeling the strain: an August 2026 report found the $50 billion Idaho buildout straining local infrastructure.

What makes Micron Technology unique

  • AI memory is a three-player club: only Micron, SK hynix and Samsung make HBM, the stacked memory inside AI servers.
  • It owns its factories: Micron makes chips in Taiwan, Singapore, Japan, the U.S., Malaysia, China and India.
  • Data centers drive the business: its two data center units made $34.28 billion of quarterly revenue reported September 2026.

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Benefits

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Disability Insurance
  • Parental Leave
  • Unlimited Paid Time Off
  • Paid Holidays
  • Flexible Work Hours

Growth & Insights and Company News

Headcount

6 month growth

7%

1 year growth

7%

2 year growth

7%
MarketScreener
Oct 20th, 2026
Micron backs Indium Corporation's New York critical minerals revival, part of $3B supply-chain plan

Micron Technology has invested in Indium Corporation to restart critical minerals processing in Rome, New York. The deal is part of Micron's plan, announced in July, to invest up to $3 billion in the US semiconductor supply chain. Micron will provide funding for Indium to expand its refining and manufacturing operations. The companies will sign a long-term supply agreement giving Micron access to high-purity minerals used in advanced memory chips. The investment aims to reduce reliance on concentrated global refining capacity. Micron has also raised its expected US fab and technology spending to more than $250 billion through 2035. "Securing these inputs is essential to Micron's long-term growth and technology roadmap," said Ben Tessone, chief procurement officer at Micron.

Yahoo Finance
Oct 20th, 2026
Wall Street's top trillion-dollar stock pick is Micron, with 70% upside to a $1,575 target

Wall Street analysts see Micron Technology as the best of the 13 US-listed stocks worth at least $1 trillion. Among 56 analysts, the median target price is $1,575 a share, implying 70% upside from $925. Broadcom's median target is $525, or 54% above $329. Nvidia's is $320, or 45% above $219. Micron's profits are soaring on a memory chip shortage driven by demand for artificial intelligence infrastructure. September quarter revenue rose 379% to $54 billion, and non-GAAP earnings reached $33.42 a diluted share, from $3.03 a year earlier. Risks remain. New capacity could cause oversupply by 2029, and prices fell about 70% in the last downturn. Micron trades at 12 times earnings, against 6 times at the last cycle's low.

Yahoo Finance
Oct 20th, 2026
Micron up 350%, but SK Hynix, Sandisk and Astera Labs may offer faster growth

Micron's stock has risen about 350% in a year, but three rival memory stocks may offer better value, according to one analyst view. SK Hynix posted second-quarter revenue of 79.3 trillion Korean won (about $54.9 billion), up 257% year over year and 51% sequentially. Micron grew 31% sequentially. SK Hynix also has a lower market cap and a more attractive P/E ratio. Sandisk shares have surged more than 800% in a year. It expects fiscal 2027 first-quarter revenue of up to $10.8 billion, or 20.4% sequential growth. Astera Labs, which builds rack-scale AI infrastructure, more than doubled its second-quarter sales. It guides to $550 million in third-quarter sales at the midpoint, a 40.2% sequential rise.

Yahoo Finance
Oct 19th, 2026
US stock futures rise as chipmakers rebound ahead of Big Tech earnings

US stock futures rose on Monday as investors bought beaten-down chipmakers ahead of a busy week of corporate earnings. December S&P 500 E-Mini futures gained 0.52% and Nasdaq 100 E-Mini futures rose 1.11%. In pre-market trading, Intel climbed over 4%, Marvell Technology more than 3%, and Micron Technology over 2%. Last week's rout in chip and AI stocks had hit Wall Street's major averages on Friday. Meta Platforms and Tesla headline this week's earnings. Bloomberg Intelligence expects S&P 500 companies to post an average 25% jump in third-quarter earnings from a year earlier. The yield on the 10-year Treasury note stood at 5.08%. Cleveland-Cliffs jumped over 13% pre-market after swinging to a third-quarter profit.

Yahoo Finance
Oct 18th, 2026
Musk praises Micron's fair pricing as it posts $54.23B quarterly revenue despite China fears

Elon Musk praised Micron Technology for keeping memory prices reasonable while rivals "got greedy," calling competitors extortionists in a post on X. Micron's high-bandwidth memory is used in chips inside Musk's xAI data centres near Memphis, though no direct deal has been announced. Micron's shares have fallen about 16% from recent highs on fears over Chinese rival CXMT, which unveiled a next-generation DRAM design. Mizuho called the threat overblown, and Rosenblatt called the sell-off unjustified. Fiscal fourth-quarter revenue rose 379% to $54.23 billion from $11.32 billion a year earlier. Net income reached $37.70 billion, and adjusted earnings per share were $33.42, against expectations of $31.61. Micron guided first-quarter fiscal 2027 revenue to $61.5 billion. JPMorgan said it has signed 26 long-term supply deals.