Principal/Senior Engineer
No salary listed
Senior, Expert
Bachelor's
Singapore
In PersonWorksites listed: Fab 10A and Fab 10N/X in Singapore.
Manufacturing & Process EngineeringProcess Engineering
About the job
Requirements
- A bachelor's degree in Engineering, Materials Science, Chemical Engineering, Physics, or a related technical discipline is required.
- Semiconductor manufacturing, process engineering, or equipment engineering experience is required.
- Strong problem-solving, data analysis, and technical troubleshooting skills are required.
- The ability to manage multiple priorities and execute projects independently is required.
- Strong written and verbal communication skills are required.
Responsibilities
- Drive Diffusion process and equipment performance improvements to support manufacturing objectives.
- Identify and implement opportunities to improve Manufacturing Availability (MA), Utilization, Throughput, WPD, and RPT.
- Lead technical investigations for equipment, process, and yield excursions using structured problem-solving methodologies.
- Develop innovative solutions to improve equipment capability, reliability, and productivity.
- Support Max-Out, Productivity, Everest, WPD, and Cost Reduction initiatives.
- Analyze manufacturing constraints and develop solutions to improve fab output.
- Identify and execute productivity projects that improve cycle time, throughput, and equipment effectiveness.
- Support capacity planning and bottleneck reduction activities.
- Partner with Manufacturing, Process Integration Engineering (PIE), Yield, MAE, and Global Central Teams to deliver business objectives.
- Drive alignment across functional teams to implement technical solutions.
- Provide technical recommendations to leadership and stakeholders based on data-driven analysis.
- Work with equipment suppliers to develop and deploy hardware, software, and productivity improvements.
- Drive supplier accountability to resolve technical issues and improve tool performance.
- Benchmark industry best practices and identify opportunities for competitive advantage.
- Utilize data analytics and engineering methodologies to identify improvement opportunities.
- Support technology transfers, process conversions, and new capability implementation.
- Create standard methodologies and best practices for Diffusion operations.
- Share technical knowledge and mentor junior engineers as needed.
- Leverage AI-enabled tools and advanced analytics to accelerate engineering problem solving, improve productivity, and enhance decision-making.
- Utilize Microsoft Copilot and approved enterprise AI platforms to analyze large data sets, generate insights, summarize technical information, and improve engineering efficiency.
- Apply data science, machine learning, and statistical techniques to identify manufacturing improvement opportunities and predict equipment or process performance trends.
- Partner with Digital Transformation and Manufacturing teams to develop and implement AI-driven solutions for excursion detection, predictive maintenance, capacity optimization, and operational excellence.
- Drive adoption of digital engineering best practices, automation, and AI-enabled workflows across the Diffusion organization.
- Ensure responsible use of AI by adhering to Micron's information security, data privacy, and AI governance requirements.
Desired Qualifications
- Experience in Diffusion process or equipment engineering.
- Experience with productivity improvement programs, manufacturing optimization, and capacity management.
- Knowledge of statistical analysis, Design of Experiments (DOE), Statistical Process Control (SPC), and structured problem-solving methodologies.
- Experience working with semiconductor equipment suppliers.
- Proven ability to drive cross-functional technical projects from concept through implementation.
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'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