Semiconductor Process Engineering Lead (NAND RDA)
Salary undisclosed
Checking job availability...
Original
Simplified
- BS plus 5 years' experience or MS/PhD plus 2 years' experience in Engineering, Physics, Material Science or related technical discipline.
- 3 years RDA experience in the semiconductor industry working in the process side or Equipment/Applications side.
- Is proactive and passionate about learning and mentoring your team.
- Is a leader drawn to creative problem solving and innovative solutions.
- Will investigate process anomalies, root cause analysis, data manipulation, and correlations.
- Has proven ability to innovate and drive effective change in an energizing environment.
- Has shown combination of flexibility and tenacity in the pursuit of goals.
- Has Excellent technical, communication, and analytical skills.
- Ideal candidates will have a solid knowledge of semiconductor optical and electron beam inspection methods and technologies.
- Encourage a safe work environment.
- Mentor your team in analyzing experimental process flows looking for defect anomalies and quarantining process tools that are out of control.
- Build an environment of continuous improvement process (CIP) demeanor, looking for ways to improve operations, and how to make a difference today!
- Develop inspection technology roadmaps to drive our internal and external partners enabling a clear path to future advanced memory needs.
- Manage projects internal to your team and across functional areas.
- Direct your team to recognize, identify, and raise awareness of process anomalies.
- Develop clear metrics for program health and communicate in an effective manor to set program priorities.
- Build and improve upon detection techniques and identify new ways to use existing tools to identify relevant process issues.
- Active participation in technical meetings and subsequently, synthesize new opportunities or novel approaches from the same.
- Collaborate with the global network to develop best known methods and maintain alignment between sites.
- Proficiency in data analysis, machine learning, and statistical modeling to derive actionable insights from complex datasets is an added advantage
- BS plus 5 years' experience or MS/PhD plus 2 years' experience in Engineering, Physics, Material Science or related technical discipline.
- 3 years RDA experience in the semiconductor industry working in the process side or Equipment/Applications side.
- Is proactive and passionate about learning and mentoring your team.
- Is a leader drawn to creative problem solving and innovative solutions.
- Will investigate process anomalies, root cause analysis, data manipulation, and correlations.
- Has proven ability to innovate and drive effective change in an energizing environment.
- Has shown combination of flexibility and tenacity in the pursuit of goals.
- Has Excellent technical, communication, and analytical skills.
- Ideal candidates will have a solid knowledge of semiconductor optical and electron beam inspection methods and technologies.
- Encourage a safe work environment.
- Mentor your team in analyzing experimental process flows looking for defect anomalies and quarantining process tools that are out of control.
- Build an environment of continuous improvement process (CIP) demeanor, looking for ways to improve operations, and how to make a difference today!
- Develop inspection technology roadmaps to drive our internal and external partners enabling a clear path to future advanced memory needs.
- Manage projects internal to your team and across functional areas.
- Direct your team to recognize, identify, and raise awareness of process anomalies.
- Develop clear metrics for program health and communicate in an effective manor to set program priorities.
- Build and improve upon detection techniques and identify new ways to use existing tools to identify relevant process issues.
- Active participation in technical meetings and subsequently, synthesize new opportunities or novel approaches from the same.
- Collaborate with the global network to develop best known methods and maintain alignment between sites.
- Proficiency in data analysis, machine learning, and statistical modeling to derive actionable insights from complex datasets is an added advantage