Staff GenAI Engineer - Early PDN Modeling

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. We are building the next generation of memory design by embedding AI into how circuits are designed, validated, and brought to silicon. We work at the intersection of design, CAD, and data, and we focus on solutions that scale across teams and technology nodes. If you want your work to directly impact silicon outcomes, this team delivers! This role is critical to transforming memory design workflows using AI and automation. You will partner closely with design, layout, CAD, and product teams to reduce manual effort, improve quality, and accelerate time-to-tapeout across memory products.

Embed AI and automation into PDN analysis, power integrity validation, and optimization workflows Apply data-driven methods to predict IR drop, voltage droop, current density, decoupling effectiveness, and electromigration risk during early design stages Enable AI-assisted optimization of power grid architectures, bump planning, package-PDN co-design, and decap placement Leverage historical design, simulation, and silicon data to drive predictive power integrity insights and design recommendations Develop machine learning and generative AI solutions to automate root-cause analysis and accelerate PDN design-space exploration Collaborate across power integrity, design, CAD, package, and product engineering teams to scale AI-enabled methodologies and workflows Minimum Qualifications: Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent practical experience 5 to 7 years of experience in power integrity, PDN design, circuit design, physical design, package design, or EDA workflows Strong coding skills with the ability to develop and maintain production-quality software in Python or similar languages Experience applying data analysis, machine learning, or automation to engineering workflows Understanding of power delivery networks, IR drop analysis, voltage integrity, or related semiconductor design domains Preferred Qualifications: Master’s degree or PhD in Electrical Engineering, Computer Science, or related field Experience applying AI or ML to power integrity, physical design, package design, simulation, or silicon data analysis Knowledge of memory subsystem power delivery, package-PDN interactions, and full-chip power integrity methodologies Experience with EDA tools and flows for power integrity analysis and optimization Familiarity with machine learning techniques such as graph neural networks, surrogate modeling, large language models, or agentic AI systems Experience collaborating across design, CAD, package, process integration, test, or product engineering teams The US base salary range that Micron Technology estimates it could pay for this full-time position is: $170,000.00 - $290,000.00 a year Additional compensation may include benefits, bonuses and equity. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target base pay for new hire salaries of the position across all US locations. Within the range, individual pay is determined by work location and additional job-related factors, including knowledge, skills, experience, tenure and relevant education or training. The pay scale is subject to change depending on business needs. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.  Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and