Research and prototype memory and system architecture concepts for AI accelerators. Develop performance models, analyze AI and HPC workloads, evaluate memory hierarchy and interconnect optimizations, and assess bandwidth, latency, power, scalability, and system efficiency. Collaborate with cross-functional engineering teams and apply AI-based tools to architecture research.
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.
At Micron Technology, we transform how the world uses information to enrich life for all.
The HBM Architecture team is at the forefront of developing next-generation memory solutions that enable advances in artificial intelligence, high-performance computing, and data-intensive applications. The team researches and evaluates innovative memory and system architecture concepts, working across disciplines to optimize performance, power efficiency, and scalability for future computing platforms. Join a collaborative environment where innovative research is transformed into technologies that shape the future of AI infrastructure.
As a PhD Intern on the HBM Architecture team, you will research and prototype advanced memory and system architecture concepts for next-generation AI accelerators. You will develop performance models, analyze AI workloads, and evaluate how memory hierarchy and interconnect design choices impact system performance, power efficiency, and scalability. This role offers the opportunity to collaborate with experienced architects and engineers while contributing to the future of AI computing systems.
Responsibilities
Minimum Qualifications
Preferred Qualifications
The US base salary range that Micron Technology estimates it could pay for this full-time position is:
$50.24 - $50.24 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.
To learn about your right to work click here.
To learn more about Micron, please visit micron.com/careers
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.
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.
At Micron Technology, we transform how the world uses information to enrich life for all.
The HBM Architecture team is at the forefront of developing next-generation memory solutions that enable advances in artificial intelligence, high-performance computing, and data-intensive applications. The team researches and evaluates innovative memory and system architecture concepts, working across disciplines to optimize performance, power efficiency, and scalability for future computing platforms. Join a collaborative environment where innovative research is transformed into technologies that shape the future of AI infrastructure.
As a PhD Intern on the HBM Architecture team, you will research and prototype advanced memory and system architecture concepts for next-generation AI accelerators. You will develop performance models, analyze AI workloads, and evaluate how memory hierarchy and interconnect design choices impact system performance, power efficiency, and scalability. This role offers the opportunity to collaborate with experienced architects and engineers while contributing to the future of AI computing systems.
Responsibilities
- Research and evaluate advanced memory and system architecture concepts for AI accelerators, including GPUs, TPUs, and custom accelerator designs.
- Develop and analyze performance models to assess bandwidth, latency, power, scalability, and overall system efficiency.
- Analyze AI training, inference, and HPC workloads to identify memory and system performance bottlenecks.
- Investigate memory hierarchy, HBM, DRAM, cache, storage, and interconnect optimizations to improve system performance.
- Collaborate with cross-functional engineering teams and explore the use of AI/LLM-based tools to enhance architecture research and development workflows.
Minimum Qualifications
- Currently pursuing a PhD in Computer Architecture, Electrical Engineering, Computer Engineering, Computer Science, or a related technical field.
- 0-2 years of relevant experience through research, internships, academic projects, or industry experience in computer architecture, memory systems, or AI hardware.
- Knowledge of memory system architecture, including caches, HBM, DRAM, memory hierarchy, and interconnect concepts.
- Experience with performance modeling, architectural simulation, system analysis, or related research methodologies.
- Programming experience in Python, C++, or similar programming languages.
- Strong analytical, problem-solving, and technical communication skills.
Preferred Qualifications
- Research experience in AI accelerators, GPU architecture, memory systems, interconnects, or high-performance computing.
- Experience with AI/ML frameworks such as PyTorch, TensorFlow, or CUDA-based development environments.
- Familiarity with architectural simulators, SystemC, GPU profiling tools, emulation platforms, or performance analysis tools.
- Knowledge of rack-scale systems, scale-up/scale-out architectures, and advanced interconnect technologies.
- Publications, conference papers, or demonstrated research contributions in computer architecture, AI hardware, memory systems, or related fields.
The US base salary range that Micron Technology estimates it could pay for this full-time position is:
$50.24 - $50.24 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.
To learn about your right to work click here.
To learn more about Micron, please visit micron.com/careers
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.
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What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
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- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
