Drimva

Micron

DRAM Pathfinding & Process Integration Engineer

$159K–$271K

Albany, NY · Full-time · Posted Oct 30, 2026

Experience
5+ years of semiconductor industry experience.
Education
Master's degree or equivalent experience in Electrical Engineering, Physics, Materials Science, Chemical Engineering, or a related technical field.

About the job

Leads early-stage investigation and process integration for next-generation DRAM technologies, assessing scaling concepts and transferring successful solutions into development and manufacturing.

What you'll do

  • Investigate future DRAM concepts, materials, architectures, and High-NA EUV patterning approaches.
  • Coordinate process integration and learning experiments, analyzing data to assess performance, manufacturability, yield, reliability, and cost.
  • Collaborate with Micron teams, NY CREATES, suppliers, and research partners; communicate findings and support technology transfer.

What they ask for

  • Master's degree or equivalent experience in Electrical Engineering, Physics, Materials Science, Chemical Engineering, or a related technical field.
  • 5+ years of semiconductor industry experience in process integration, process development, device engineering, or advanced R&D.
  • Strong understanding of memory technologies and extensive knowledge of semiconductor device physics and process integration.
  • Experience with DOE methodologies, statistical analysis, and technical problem-solving; AI proficiency or AI-enabled ways of working.

Nice to have

  • Ph.D. or equivalent experience in a related technical field; experience in DRAM technology innovation or advanced memory scaling.
  • Familiarity with EUV and High-NA EUV lithography; Python, JMP, SQL, machine learning, and analytics tools.

Pay

$159,000.00 - $271,000.00 a year (USD base salary)

Tools

High-NA EUV, EUV, Python, JMP, SQL, machine learning

AI focus

Supports building and deploying AI-enabled solutions and using AI-assisted analytics and modeling to accelerate engineering learning, improve data interpretation, and inform technology decisions.

Model-written summary · the original posting is authoritative

First seen Oct 31, 2026 · Last verified Nov 4, 2026 (UTC)