Front End Central Product Integration (FE CPIE) MTS (FE)

WhiteCrow Research Pvt. Ltd.; Singapore; On-site; SGD 140,000 - 210,000; Full time

Job summary

WhiteCrow Research Pvt. Ltd. seeks a Front End Central Product Integration (FE CPIE) MTS to lead end‑to‑end integration strategies for critical semiconductor modules and drive cross‑module collaboration to resolve yield and reliability gaps.

You will develop model‑based root cause analysis, implement inline monitoring, and advance node‑to‑node integration with a focus on AI‑assisted insights to improve efficiency and quality across sites.

Qualifications

• Bachelor's/Master's/PhD in EE, Materials Engineering, Materials Science, Physics or Chemistry; optional with 10+ years semiconductor experience.

Responsibilities

• Lead PI structural uniformity and cross‑loop integration for critical modules, owning end‑to‑end integration strategies.
• Drive physics- and process-based integration solutions with cross‑module process owners and key suppliers.
• Develop model‑based root cause analysis frameworks covering transport, kinetics, and pattern density.
• Define and strengthen inline monitoring and defense lines to ensure robust uniformity control.
• Own and advance product integration programs and loop‑level domain expertise across node transitions.
• Drive shift-left integration to accelerate yield ramp using BKMs during development phases.

Skills

Semiconductor fabrication knowledge

Model-based problem solving

Data-driven decision making

AI literacy

Verbal & written communication

Travel availability

Education

Bachelor's in EE/Materials/Physics/Chemistry

Master's or PhD in relevant field

Job description

We are global talent research, insight, and sourcing specialists with offices in the UK, USA, Singapore, Malaysia, Hong Kong, Dubai, and India. Our international reach has helped us to understand and penetrate specialist markets at a global level. In addition to this, our service is also extended to complement our client’s in‑house talent acquisition teams.

About our client

Our client is a global technology leader specializing in advanced memory and storage solutions that power next‑generation computing and data‑driven applications. With strong expertise in semiconductor innovation, the organization develops high‑performance memory technologies across DRAM, NAND, and storage platforms for applications spanning data centers, artificial intelligence, mobile devices, client computing, and intelligent edge ecosystems.

Driven by a commitment to technology advancement, operational excellence, and customer‑centric innovation, the company plays a significant role in enabling modern digital infrastructure and compute‑intensive workloads worldwide.

As a Front End Central Product Integration (FE CPIE) MTS (FE), you will be responsible for...

• Leading process integration (PI) structural uniformity and cross-loop integration for critical modules (e.g., capacitance loop), owning end‑to‑end integration strategies to resolve yield, quality, and reliability gaps.
• Driving physics- and process‑based integration solutions through close collaboration with cross‑module process owners, PI subject matter experts, and key suppliers to optimize integration structures and achieve BIC yield and quality targets.
• Developing and applying model‑based root cause analysis frameworks covering transport, reaction kinetics, pattern density, and geometry‑dependent effects to diagnose structural non‑uniformity.
• Defining, implementing, and continuously strengthening critical inline monitoring and defense lines, including CD, film loss, mass delta, defectivity, and edge/periphery metrics, to ensure robust control of structural uniformity.
• Owning and advancing product integration programs and loop‑level domain expertise while maintaining deep technical knowledge across node transitions.
• Proactively driving node‑over‑node “shift left” integration, including early implementation of uniformity, bevel, and backside best‑known methods (BKMs) during development phases to accelerate whole‑wafer (centre‑to‑edge) yield and quality ramp.
• Driving worldwide technical alignment and execution excellence by leading global projects, standardizing and leveraging network BKMs, and scaling proven solutions across sites.
• Identifying efficiency and performance gaps and leading business process creation, optimization, and re‑engineering to improve benchmark performance, cycle time, and development productivity.
• Integrating AI‑assisted tools and insights into daily work to improve efficiency, quality, and effectiveness while exercising sound judgment and complying with organizational standards and legal requirements.

What you already have...

• Bachelor's/Master's/PhD. in EE, Materials Engineering, Materials Science, Physics and Chemical but optional if candidates have more than 10 years' experience in process related role in the semiconductor industry.
• With more than 7 years of relevant industry experience/knowledges.
• Good logical thinking and knowledge in Semiconductor Fabrication process flows, interaction of different processes and how changes affect yield, device performance and reliability. Understanding of DRAM and NAND operation and structure to decipher parametric, probe and qual data from both front‑end and backend assembly processes.
• Good model‑based problem solving, together with data‑driven decision making, and presentation skills. Proven ability to troubleshoot and solve structure and device‑related issues, and address root cause.
• Good organizational capabilities and ability to work effectively. Ability to be flexible with job responsibilities and take the initiative to assume added responsibilities. Travel to company sites as necessary for face‑to‑face collaboration.
• Strong interpersonal skills and customer/co‑worker relationships. Successfully demonstrated teamwork skills with a strong focus on developing good team dynamics.
• Good multi‑tasking, verbal and written communication skills.
• Ability to apply baseline digital fluency and role appropriate AI literacy to use AI enabled tools responsibly and effectively for research, analysis, content creation, problem solving, operational tasks, and achieving business outcomes.