Intern - SSD Architecture Modeling

Posted 9 Days Ago
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Boise, ID, USA
In-Office
Internship
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Your talent powers our future.
The Role
Develop software tools, automation, dashboards, and analytics workflows for SSD architecture modeling, simulation analysis, and performance characterization. Process and visualize engineering datasets, identify bottlenecks and trends, apply AI-assisted development techniques, and collaborate with architecture, firmware, and systems engineering teams to improve modeling methodologies and engineering productivity.
Summary Generated by Built In
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 Architecture Modeling team develops software, modeling platforms, and analytical tools that enable the evaluation and optimization of next-generation storage system architectures. By combining simulation, data analytics, automation, and AI-enabled engineering practices, the team helps accelerate architectural decision-making and improve engineering productivity across product development organizations.
As an Architecture Modeling Intern, you will develop software tools and automation solutions that support architecture modeling, simulation analysis, and performance characterization efforts. You will collaborate with architects, firmware engineers, and systems engineers to analyze complex datasets, identify performance bottlenecks, improve engineering workflows, and leverage AI technologies to enhance productivity and technical decision-making.
Responsibilities
  • Develop software tools and automation solutions for architecture modeling, simulation analysis, and performance characterization activities.
  • Create workflows to process, analyze, visualize, and report on large engineering datasets to improve insight generation and decision-making.
  • Design dashboards, reporting tools, and analytics solutions that improve engineering productivity and identify performance trends or anomalies.
  • Apply AI-assisted development techniques, automation frameworks, and intelligent analytics to accelerate software development and engineering workflows.
  • Collaborate with cross-functional engineering teams to solve technical challenges, support validation activities, and improve modeling and simulation methodologies.

Minimum Qualifications
  • 0-2 years of relevant experience through internships, research projects, academic coursework, software development projects, or engineering experience in computer architecture, systems software, data analytics, modeling, simulation, or related fields.
  • Currently pursuing a Master's, or PhD degree in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or a related technical field.
  • Proficiency in Python, C++, or similar programming languages.
  • Strong understanding of software development fundamentals, data structures, algorithms, and debugging techniques.
  • Experience working in Linux or Unix development environments.
  • Strong analytical, problem-solving, and technical communication skills.
  • Demonstrated ability to leverage AI-enabled tools and technologies, including large language models (LLMs) such as Copilot, Claude, ChatGPT, or similar platforms, to improve productivity, learning, software development, and problem-solving.

Preferred Qualifications
  • Experience with modeling, simulation, performance analysis, benchmarking, or data analytics tools.
  • Knowledge of computer architecture, storage systems, distributed systems, systems software, or performance engineering concepts.
  • Familiarity with data visualization frameworks, machine learning techniques, or AI-assisted software development tools.
  • Experience with Git, automated testing frameworks, CI/CD pipelines, or workflow automation.
  • Interest in applying artificial intelligence, machine learning, generative AI, or intelligent analytics to improve engineering workflows and technical decision-making.
  • Strong written and verbal communication skills with the ability to present technical findings to engineering stakeholders.
  • Experience developing production-quality software tools, dashboards, analytics platforms, or engineering productivity solutions.

As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits .
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
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To learn more about Micron, please visit micron.com/careers
For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at [email protected] or 1-800-336-8918 (select option #3)
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Skills Required

  • 0–2 years of relevant experience through internships, research projects, coursework, software projects, or engineering experience in computer architecture, systems software, data analytics, modeling, simulation, or related fields
  • Currently pursuing a Master's or PhD in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or a related technical field
  • Proficiency in Python, C++, or similar programming languages
  • Understanding of software development fundamentals, data structures, algorithms, and debugging techniques
  • Experience working in Linux or Unix development environments
  • Strong analytical, problem-solving, and technical communication skills
  • Experience leveraging AI-enabled tools and technologies, including large language models such as Copilot, Claude, ChatGPT, or similar platforms
  • Experience with modeling, simulation, performance analysis, benchmarking, or data analytics tools
  • Knowledge of computer architecture, storage systems, distributed systems, systems software, or performance engineering
  • Familiarity with data visualization frameworks, machine learning techniques, or AI-assisted software development tools
  • Experience with Git, automated testing frameworks, CI/CD pipelines, or workflow automation
  • Interest in artificial intelligence, machine learning, generative AI, or intelligent analytics
  • Strong written and verbal communication skills, including presenting technical findings to engineering stakeholders
  • Experience developing production-quality software tools, dashboards, analytics platforms, or engineering productivity solutions

Micron Technology Compensation & Benefits Highlights

  • Healthcare Strength — Health insurance is portrayed as comprehensive, with medical, dental, vision, prescription coverage and access to on-site or near-site health centers at many locations. Feedback suggests employees regard the coverage as very good overall.
  • Retirement Support — The 401(k) program is considered strong, with company materials citing a 5% match and multiple contribution options. Feedback suggests this match is frequently highlighted as a standout benefit.
  • Equity Value & Accessibility — Equity participation is accessible through a 15%‑discount ESPP, with RSUs offered in eligible roles. Feedback suggests these stock programs add meaningful value to total compensation.

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The Company
HQ: Boise, ID
45,000 Employees
Year Founded: 1978

What We Do

We are a world leader in innovative memory solutions that transform how the world uses information to enrich life for all. For over 45 years, our company has been instrumental to the world’s most significant technology advancements, delivering optimal memory and storage systems for a broad range of applications.

Why Work With Us

Global opportunities, team member development, and career advancement—Micron invests in you and celebrates your skills, a growth mindset, and the tenacity to strive. At Micron, everyone innovates.

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Micron Technology Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Micron recognizes the importance of maintaining a healthy work-life balance to foster a culture of collaboration, innovation and meet the needs of the business. In alignment with these values, we offer four flexible work arrangement options

Typical time on-site: Flexible
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