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Intern - Signal Integrity

Job in Boise, Ada County, Idaho, 83708, USA
Listing for: Micron Technology, Inc.
Apprenticeship/Internship position
Listed on 2026-10-05
Job specializations:
  • Engineering
    Electronics Engineer, Test Engineer, Electrical Engineering
Salary/Wage Range or Industry Benchmark: 90000 - 140000 USD Yearly USD 90000.00 140000.00 YEAR
Job Description & How to Apply Below

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.

The Signal Integrity (SI) Research & Development team enables the electrical performance of Micron's industry-leading memory and storage products, including DRAM, LPDRAM, NAND, HBM, SSDs, and emerging memory technologies. The team works across silicon, package, PCB, and system-level designs to develop high-speed signaling and power delivery solutions that support next-generation computing, AI, networking, automotive, mobile, and data center applications.

As a Signal Integrity Engineer, you will support the design, analysis, and validation of high-speed memory interfaces and power distribution networks across Micron's product portfolio. Working alongside experienced engineers, you will use modeling, simulation, measurements, and AI-enabled workflows to evaluate signal and power integrity performance, support product development, and contribute to future technology and industry standards initiatives.

Responsibilities
  • Support signal integrity and power integrity analysis for high-speed memory interfaces and power distribution networks through modeling, simulation, measurement, and correlation activities.
  • Collaborate with silicon, package, product, validation, and system engineering teams to ensure product electrical performance across all stages of development.
  • Develop and evaluate die, package, PCB, and system-level models to identify performance risks and optimization opportunities.
  • Apply AI-enabled tools and agentic workflows to improve engineering efficiency, automate analysis, improve reporting, and support technical problem-solving.
  • Contribute to methodology development, standards exploration, customer support activities, and documentation of technical findings and recommendations.
Minimum Qualifications
  • 0-2 years of relevant experience through internships, research, academic projects, laboratory work, or industry experience in signal integrity, power integrity, high-speed design, electrical engineering, or related technical fields.
  • Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Physics, or a related technical field.
  • Knowledge of signal integrity, power integrity, transmission lines, high-speed interfaces, PCB design, or electromagnetic fundamentals.
  • Experience with electrical simulation, modeling, laboratory measurement techniques, or engineering analysis tools gained through coursework, research, or projects.
  • Strong analytical, fixing, and problem-solving skills.
  • Experience with programming, scripting, or automation using Python, MATLAB, or similar tools.
  • Strong written and verbal communication skills with the ability to work effectively in multi-functional teams.
  • Demonstrated ability to apply AI-enabled tools and agentic workflows to improve productivity, data analysis, technical evaluations, and engineering communication.
Preferred Qualifications
  • Experience with signal integrity, power integrity, high-speed Ser Des, memory interfaces, or package and PCB design through internships, research, or academic projects.
  • Familiarity with industry-standard SI/PI simulation and modeling tools.
  • Knowledge of DRAM, LPDDR, HBM, NAND, SSD, or other memory technologies.
  • Experience developing automation solutions, data analysis workflows, or engineering productivity tools using Python or similar programming languages.
  • Experience using AI assistants, large language models (LLMs), or AI-enabled engineering workflows such as Copilot, Claude, GPT, Gemini, or agentic automation platforms.
  • Fam…
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