Diffusion Process Engineer - Yield & Quality Optimizer

1000 Micron Technology, Inc.

Manassas (VA)

On-site

USD 90,000 - 130,000

Full time

14 days+

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Job summary

Micron Technology is seeking a Diffusion Process Engineer to develop and optimize diffusion deposition processes in a high‑volume semiconductor environment. You will lead evaluations, support baseline qualifications, and work with suppliers to meet quality, cost, and risk goals.

The role requires at least 1 year in diffusion process engineering, a related bachelor’s degree, and the ability to leverage AI tools for task efficiency, with a focus on improving product quality, reliability, yield,

Qualifications

  • At least 1 year of related experience as a Diffusion Process Engineer in the semiconductor industry.
  • Bachelor’s degree in a related field or equivalent experience.
  • Ability to leverage AI tools to efficiently complete assigned tasks.

Responsibilities

  • Develop and optimize deposition, anneal and reflow processes to improve yield, quality, and cost.
  • Identify and resolve process-related issues using structured problem-solving tools such as failure analysis, FMEA, 8D, and SPC.
  • Lead process, equipment, and material evaluations and implement changes at the process step.
  • Support new process baseline qualifications and ensure alignment with sister fabs.
  • Collaborate with suppliers to meet quality, cost, and risk-management goals.
  • Maintain detailed documentation of process findings, characterizations, and risk assessments.
  • Participate in yield improvement and cost-reduction initiatives.
  • Work closely with manufacturing teams to resolve line issues and improve process control.

Skills

AI tools usage
Diffusion process
Problem solving

Education

Bachelor's degree in a related field

Tools

KOKUSAI furnaces
TEL equipment
Blujay
XP8
TEL NT333

Job description

Micron Technology is seeking a Diffusion Process Engineer to develop and optimize diffusion deposition processes in a high‑volume semiconductor environment. You will lead evaluations, support baseline qualifications, and work with suppliers to meet quality, cost, and risk goals.

The role requires at least 1 year in diffusion process engineering, a related bachelor’s degree, and the ability to leverage AI tools for task efficiency, with a focus on improving product quality, reliability, yield,

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