Staff GenAI Engineer - Early PDN Modeling

Micron Technology
San Jose
Workplace: OnsiteFull timeUSD 170,000 - 290,000 annuallyFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Collaboration","Automation","Data-driven problem-solving","Software development","Cross-functional teamwork"]

Develop AI and automation to transform early-stage PDN/power integrity workflows for memory design. Build predictive models for IR drop, voltage droop, current density, decoupling effectiveness, and electromigration risk, using historical design, simulation, and silicon data. Create machine learning and generative AI systems for root-cause analysis and design-space exploration, collaborating with power integrity, design/CAD, package, and product teams to scale AI-enabled methods across teams.

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FursaFursa
Micron Technology
Micron Technology
6 days ago

Staff GenAI Engineer - Early PDN Modeling

✓ Verified Job

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Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Develop AI and automation to transform early-stage PDN/power integrity workflows for memory design. Build predictive models for IR drop, voltage droop, current density, decoupling effectiveness, and electromigration risk, using historical design, simulation, and silicon data. Create machine learning and generative AI systems for root-cause analysis and design-space exploration, collaborating with power integrity, design/CAD, package, and product teams to scale AI-enabled methods across teams.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Embed AI and automation into PDN analysis, power integrity validation, and optimization workflows.
  • •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 produce predictive power integrity insights and recommendations.
  • •Develop machine learning and generative AI solutions to automate root-cause analysis and accelerate PDN design-space exploration.

Pay and Benefits

Salary: USD 170,000 - 290,000 annually
Equity and Bonus:Equity
Perks:Paid LeaveHealth InsuranceLearning BudgetWellness StipendEquity

Key Requirements

  • •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 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.
Experience:Power integrityPDN designSemiconductor designEDA workflowsMemory design
Education:Bachelor's
Skills:CollaborationAutomationData-driven problem-solvingSoftware developmentCross-functional teamwork
Tech Stack:PythonMachine learningGenerative AIGraph neural networksSurrogate modelingLarge language modelsAgentic AIAI automation

Company Brief

Micron Technology
Designs and manufactures semiconductor memory and storage solutions, including DRAM, NAND, and NOR flash, for computing, networking, mobile, and automotive markets worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Boise, United States
Founded: 1978
Glassdoor
Glassdoor: 3.7
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