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Diffusion Process Engineer
Job in
Chandler, Maricopa County, Arizona, 85249, USA
Listed on 2026-03-01
Listing for:
NXP Semiconductors
Full Time
position Listed on 2026-03-01
Job specializations:
-
Engineering
Manufacturing Engineer, Lean Manufacturing / Six Sigma, Process Engineer, Quality Engineering -
Manufacturing / Production
Manufacturing Engineer, Lean Manufacturing / Six Sigma, Quality Engineering
Job Description & How to Apply Below
Front End Operations plays an essential role in the company’s success by ensuring the delivery of high quality, scalable, cost-competitive technologies, and supply to create a winning advantage for our customers.
Job summaryDiffusion Process Engineer responsible for multiple processes in a high-volume manufacturing facility. Engineer will be responsible for but not limited to the following:
- Reducing cycle time
- Improving tool utilization and availability
- Identification and reduction of recurrent machine faults
- Reducing cost
- Reducing scrap / Improving yield
- Developing and writing specifications
- Implementation of Six-Sigma statistical process control methods
- Capacity planning and modeling
- Participating in and/or leading cross-functional and lean activity teams
- Training others
- Ability to work in a high volume 24x7 manufacturing environment
- Ability to work individually, in small work groups or larger teams
- Ability to deal with multiple issues and shifting priorities
- Must be self-motivated; able to take initiative, self-generate projects, and effectively prioritize work
- Willing to adjust work schedule as needed to support factory priorities 24x7
- Be responsible for multiple tools across multiple platforms
- Work with Maintenance, Manufacturing, Facilities, Analytical Lab and Device Engineering Teams
- Work with peers in other factories to implement Best Known Methods (BKM’s)
- BS in an engineering or science discipline
- 2+ years of experience in process engineering in a high-volume semiconductor manufacturing environment preferred
- Previous experience in Diffusion/Cleans is preferred
- Previous experience on a combination of the following processes/equipment is highly desirable
- Ability to generate, analyze, and interpret equipment and process performance data and produce a timely action plan to resolve recurring failures
- Demonstrated presentation skills. Candidate will be called upon to train others and present complex datasets and process problems/ solutions to diverse audiences.
- Competent in troubleshooting problems and capable of applying logic to isolate and repair them.
- Strong verbal and written communication skills.
- Ability to interact professionally with manufacturing and equipment engineering to deal with issues and priorities.
- Good foundational problem-solving skills with creative solutions and out-of-the-box thinking.
- Self-motivated; able to take initiative and effectively prioritize work for self.
- A strong desire to help create a positive, winning, world class working environment.
- Previous experience in Lean Manufacturing methods is highly desirable.
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