Micron Technology→
New College Grad - Design Engineer, AI at Micron… · San Jose
Entry LevelOn-siteFull-timeSan Jose, CA$80k–$170k/yr
Skills
ai/ml techniquesnand digital designrtl verificationdata-driven methodscollaboration skills
Job Description
Summary: Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence. The Design Engineer, AI role focuses on embedding AI capabilities into NAND digital design, verification, and validation flows to improve design closure speed, quality, and insight into circuit behavior and silicon results.
Responsibilities:
- Apply AI and machine learning techniques to assist NAND digital circuit design, verification, and analysis within established design workflows
- Interpret device, circuit, and system‑level specifications to find opportunities for AI‑driven improvements in design correctness, performance, and efficiency
- Develop AI‑assisted approaches for design rule interpretation, RTL and architecture exploration, verification coverage analysis, bug pattern detection, and regression triage
- Support RTL, gate‑level verification, netlist bring‑up, and debug by using data‑driven methods to identify failure trends, corner cases, and root causes
- Collaborate with Product Engineering to analyze silicon data, correlating design intent, simulation results, and measured silicon behavior, and document AI‑based insights and protocols
Required Qualifications:
- Bachelor's or Master's Degree in Electrical Engineering or related field
- Ability to apply AI/ML and data‑driven techniques to NAND digital circuit design, verification, and analysis
- Experience interpreting device, circuit, and system‑level specifications in a digital design context
- Experience supporting RTL, gate‑level verification, and design debug using analytical or data‑driven methods
- Ability to collaborate effectively with design, verification, CAD, and product engineering teams
- Ability to document and communicate technical insights, limitations, and best‑known practices clearly
Preferred Qualifications:
- Experience developing AI‑assisted methodologies for design rule checking, RTL exploration, or verification analysis
- Experience applying AI techniques to post‑layout simulation analysis or performance anomaly detection
- Experience analyzing silicon data and correlating measured results with simulation and design intent
Required Skills: AI/ML techniques, NAND digital design, RTL verification
Important Skills: data-driven methods, collaboration skills
Benefits: Choice of medical, dental and vision plans, Benefit programs that help protect your income if you are unable to work due to illness or injury, Paid family leave, Robust paid time-off program, Paid holidays
Benefits
Choice of medical, dental and vision plans
Benefit programs that help protect your income if you are unable to work due to illness or injury
Paid family leave
Robust paid time-off program
Paid holidays