Staff Project Manager, OCT OPMO

As a Manager in the F10 ADTS ATE PEE Diffusion/Implant team, you will lead process engineering teams responsible for diffusion/Implant-related processes in semiconductor wafer fabrication. The role focuses on driving yield improvement, process optimization, cost reduction, and risk management while ensuring stable high-volume manufacturing performance.

Key Responsibilities

• Process & Yield Management

• Lead end-to-end diffusion process performance (yield, reliability, defectivity)

• Drive systematic yield improvement through defect analysis and process optimization

• Ensure robust control using methodologies such as SPC, FMEA, 8D, DOE

• Identify, prioritize, and resolve process excursions impacting production

• Technical Leadership (PEE – Process & Equipment Engineering)

• Oversee process condition setup, optimization, and technology upgrades

• Guide evaluation and qualification of new equipment and materials

• Drive continuous improvement in process capability and cost efficiency

• Ensure strong integration between process and equipment performance

• Operations & Manufacturing Support

• Ensure process stability and high volume manufacturing readiness

• Lead troubleshooting for line issues through structured root cause analysis

• Partner with manufacturing to minimize downtime and maximize output

• Drive change management discipline (e.g., process changes, qualifications)

Cross-Functional Collaboration

• Work closely with:

• Process Integration (PI)

• Yield Engineering (YE)

• Manufacturing (MFG)

• Global and Site engineering teams

• Align diffusion/Implant process performance with overall fab yield goals

• Support new product introduction (NPI) and technology ramp

Lead, coach, and develop a team of Process Owners / Engineers

• Set clear goals aligned to fab yield, quality, and cost targets

• Build strong technical capability and problem-solving culture

• Ensure execution discipline and accountability across the team

• 6. Data & Reporting

• Translate complex process data into actionable insights

• Provide regular updates to fab leadership on yield trends, risks, and actions

• Drive data-driven decision making across process area

AI Responsibilities: 

• • Integrates 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.

• • Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work

Qualifications / Requirements
Bachelor’s or advanced degree in:
Electrical / Electronics Engineering
Chemical / Materials Engineering
Mechanical Engineering or related discipline
Strong experience in semiconductor front-end processes (Diffusion/Implant preferred)
Proven experience in:
Yield improvement & defect reduction
Process optimization and DOE
Root cause methodologies (FMEA, 8D, SPC)
Prior leadership or team management experience
Strong stakeholder management and cross-functional collaboration skills
Ability to operate in fast-paced high-volume manufacturing environment

AI Requirements: 
• 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