Frontend Central Product Integration Engineering (cPIE) Transformative HVB (high-value-bits) En[...]

Dormont Manufacturing Co; Singapore; On-site; SGD 80,000 - 110,000; Full time

Job summary

Micron Technology, Inc. in Singapore is seeking a Frontend Central Product Integration Engineer to lead initiatives aimed at enhancing process capability and delivering best-in-class results. The candidate will collaborate closely with multi-functional teams and communicate effectively for project success.

The ideal candidate has at least 3 years of semiconductor industry experience and advanced degrees in Engineering. Proficiency in data analysis tools and a strong growth mindset are essential. The role demands effective communication and critical thinking skills.

Qualifications

• Minimum of 3 years of experience in the semiconductor industry.
• Strong understanding of manufacturing processes and equipment.
• Proficient in data analysis tools.

Responsibilities

• Initiate new data solutions and methodologies.
• Monitor tool performance benchmarking.
• Collaborate with multi-functional teams for project implementation.

Skills

Data analysis tools (Y3, JMP, Python)

Critical thinking

Problem-solving skills

Effective communication

Multitasking

Education

PhD, Master's, or Bachelor's degree in Engineering

Tools

Statistical/Machine Learning

Job description

Job Description

As a Frontend Central Product Integration Engineering and transformative (CPIE) team at Micron Technology, Inc., you will be leading new initiatives to deliver pioneering process capability, best‑in‑class bits per wafer (Yield) with the highest quality and fastest speed through innovation and collaboration with multi‑functional teams. Your primary focuses include but are not limited to:

Responsibilities

• Initiate new data solutions and methodologies to identify process, test, and design improvement opportunities, specialized in UE_ROW & all quality index, Front End‑PTS integration, and high‑value‑bits (PG2+) yield.
• Model, monitor, and aim for tool performance benchmarking.
• Process equipment prognostics and process integration optimization.
• Identify test optimization opportunities for high product grade yield improvement.
• Collaborate with site Process & Equipment Engineering, Manufacturing (MFG), Product Integration Engineering (PIE) and Data Science (DS) team to establish feasibility of new initiatives, demonstrate business values, and prototype solution mock‑ups.
• Partner with Global Quality (GQ), Product Engineering (PE), Central PEE (CPEE), Smart Mfg Artificial Intelligent (SMAI), Technology Development (TD), and Suppliers to deliver end‑to‑end solutions, implement BKM development and deployment to production.

Collaboration & Communication

• Partner closely with multi‑functional teams to ensure successful communication and collaboration for project implementation.
• Detail oriented with the ability to work independently.
• Dependability and able to work effectively in multi‑functional teams.
• Facilitate and lead activities in designing and optimizing current system, methods, tool, skill to be Best In industry.
• Manage priorities and enhancements to improve business processes and existing systems that are global in nature.
• Willing to work during non‑standard hours when needed to provide support to engineering teams at any Micron site.
• Strong growth mindset and willing to continue to learn, unlearn, relearn.
• Effective communication skills in verbal/written.
• Self‑motivated. Able to work independently with minimal supervision.
• Able to travel as required to support department and company objectives.

Requirements and Technical Competency

• PhD, Master’s, or Bachelor’s degree in Engineering or a related discipline.
• Minimum of 3 years of experience in the semiconductor industry, with exposure to product integration, test solutions, product engineering, or circuit design engineering.
• Strong understanding of manufacturing processes, equipment, and control systems.
• Proficient in data analysis tools such as Y3, JMP, or Python.
• Proficiency in Statistical/Machine Learning will be advantageous.
• Proven track record to make decisions, multitask, solve problems and address root causes.
• Exhibit critical thinking to find opportunities.

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.