New College Grad - Engineer DRAM Product Development Engineer

Micron•Boise, ID

18h

About The Position

As a Product Development Engineer in Micron’s DRAM Technology Node Development group, you will contribute to developing memory technologies from initial development and silicon bring-up through certification, yield improvement, and production expansion. You will apply academic knowledge to practical semiconductor engineering while collaborating with experienced engineers and cross-functional partners. The position focuses on DRAM process-node and product development, data analysis, characterization, debugging, and improving product quality, performance, robustness, and manufacturability. Approved AI-enabled tools may be used for engineering analysis and related work, with outputs validated and confidential information protected.

Requirements

Bachelor’s degree or master’s degree, or equivalent experience, in Electrical Engineering, Computer Engineering, Physics focused on semiconductor electronics, or a related technical area.
For Engineer I candidates: recently completed a bachelor’s or master’s degree, or equivalent experience, and fewer than two years of relevant full-time professional experience.
Foundational understanding of semiconductor devices, CMOS circuits, digital or analog electronics, memory operation, computer architecture, build verification, test, or data analysis.
Demonstrated problem-solving ability through coursework, laboratory work, research, internships, co-ops, or technical projects.
Ability to build proficiency with approved AI-assisted engineering tools and critically evaluate AI-supported results.
Ability to collect, coordinate, analyze, and communicate engineering data using Python, JMP, MATLAB, Excel, or similar software.

Nice To Haves

Coursework or project experience in semiconductor device physics, VLSI, CMOS building, analog or digital circuits, memory architecture, statistics, or design of experiments.
Exposure to DRAM or other memory technologies, circuit simulation, Verilog, CAD tools, bench characterization, semiconductor test, probe, or electrical failure analysis.
Experience developing scripts, dashboards, data pipelines, or automation that improves analysis quality or workflow efficiency.
Familiarity with structured problem-solving methods, statistical process control, design of experiments, or root-cause analysis.
Evidence of initiative, curiosity, collaborative behavior, and ability to learn unfamiliar technical concepts.
Experience applying AI, machine learning, or generative AI to engineering workflows and decision support.

Responsibilities

Support new DRAM process-node and product development, including build validation, silicon bring-up, qualification, yield learning, and production ramp.
Analyze electrical test, probe, simulation, and characterization data to identify trends, build marginalities, and potential causes of performance or yield loss.
Assist with characterization and optimization of memory, logic, and analog functions, including Sense Amplifiers, timing distribution, calibration, training, and related control circuits.
Complete experiments and established debug methods; coordinate results, compare outcomes with expectations, and recommend data-supported next steps.
Collaborate with cross-functional partners to investigate process-, build-, test-, and manufacturing-related issues affecting product quality, robustness, performance, and manufacturability.
Use approved AI-enabled tools for engineering analysis, coding, automation, visualization, documentation, and problem-solving; validate outputs and protect confidential information.