Intern - Memory & System Architecture Research

Micron Technology; San Jose (CA); On-site; USD 69,000 - 77,000; Full time

Benefits offered by this job

Benefits package

Paid time off

Job summary

Micron Technology invites applications for a Memory & System Architecture Research Intern to help develop first-principles system-modeling for memory-centric architectures in datacenter and AI workloads. You will translate AI workload trends into memory needs and quantify architectural tradeoffs to guide long-term technology directions.

The role targets graduate students or Ph.D. candidates with a strong background in computer architecture and simulations, applying AI techniques as part of the

Qualifications

• Pursuing an MS or Ph.D. in computer architecture, computer engineering, electrical engineering, or related field.
• Strong background in computer architecture and system-level performance analysis (memory hierarchy, bandwidth, latency, scaling).
• Ability to analyze memory and AI performance challenges and reason about tradeoffs quantitatively.
• Proficiency in Python for building analytical models and performance analysis.
• Excellent verbal and written communication skills.

Responsibilities

• Workload characterization: Analyze AI training and inference workloads to derive memory bandwidth, capacity, and latency requirements.
• System modeling: Contribute to analytical and simulation models that evaluate memory-centric system architectures at scale.
• Architecture studies: Assess system-level tradeoffs across emerging memory and integration technologies.
• Validation & accuracy: Benchmark models against reference data to improve accuracy and ensure reproducible results.
• Quantified analysis: Produce system-level performance, efficiency, and cost analyses that inform architectural decisions.
• Documentation & publishing: Capture findings in internal technical reports and contribute to invention disclosures where applicable.

Skills

Python

Performance analysis

Computer architecture

Communication

Education

MS/PhD in relevant field

Tools

Simulation frameworks

Job description

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.

Our Cloud Memory Business Unit defines and incubates next-generation memory and system architectures for datacenter and AI workloads. In this internship you will help develop and validate a first-principles system-modeling capability that evaluates memory-centric architectures across rack-scale AI platforms — quantifying tradeoffs before committing to silicon or full software implementations.

We are seeking a Memory & System Architecture Research Intern with a strong computer-architecture and systems-modeling background to characterize AI workloads and help build and validate performance models for advanced memory systems. You will translate AI workload trends into memory capacity, bandwidth, and latency requirements, and quantify architectural tradeoffs to inform long-term technology and product direction. This role suits a graduate or Ph.D. student who is comfortable in ambiguous problem spaces and enjoys turning hypotheses into quantified, published evidence. Applying Artificial Intelligence is expected as part of this position.

Key Responsibilities

• Workload characterization: Analyze AI training and inference workloads to derive memory bandwidth, capacity, and latency requirements.
• System modeling: Contribute to analytical and simulation models that evaluate memory-centric system architectures at scale.
• Architecture studies: Assess system-level tradeoffs across emerging memory and integration technologies.
• Validation & accuracy: Benchmark models against reference data to improve accuracy and ensure reproducible results.
• Quantified analysis: Produce system-level performance, efficiency, and cost analyses that inform architectural decisions.
• Documentation & publishing: Capture findings in internal technical reports and contribute to invention disclosures where applicable.

Minimum Qualifications

• Currently pursuing an M.S. or Ph.D. in Computer Architecture, Computer Engineering, Electrical Engineering, or a related field.
• Strong background in computer architecture and system-level performance analysis (memory hierarchy, bandwidth, latency, scaling).
• Ability to analyze complex memory and AI performance challenges and reason about tradeoffs quantitatively.
• Proficiency in Python for building analytical models and performance analysis.
• Good verbal and written communication and problem-solving abilities.

Preferred Qualifications

• Understanding of memory architectures (HBM, DDR, LPDDR, CXL, emerging memories) and their impact on AI/ML workloads.
• Understanding of near-memory and advanced integration technologies — 3D stacking, chiplets, interposers, heterogeneous packaging — and their system-level tradeoffs.
• Experience with AI systems and accelerators (GPU/ASIC), performance benchmarking, or design-space exploration.
• Familiarity with simulation frameworks and reproducible experimentation.

What You'll Gain

Turn architecture hypotheses into quantified, published evidence that shapes next-generation memory technology and product direction, while working alongside senior memory and systems architects on some of the most challenging problems in AI infrastructure.

The US base salary range that Micron Technology estimates it could pay for this full-time position is:

$50.24 - $55.82 an hour

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 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.

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.