New College Grad - Memory System Architect, HBM Generative AI

Posted 3 Days Ago
Be an Early Applicant
2 Locations
In-Office
103K-210K Annually
Junior
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Your talent powers our future.
The Role
Research and evaluate memory architectures for generative AI, GPUs, TPUs, and other accelerator platforms. Develop system-level models measuring performance, power, scalability, and efficiency across memory and compute architectures. Investigate HBM, DRAM, cache, storage, and interconnect optimizations, including compute-near-memory concepts. Collaborate with cross-functional teams to translate research findings into architecture recommendations, product strategies, and long-term technology roadmaps.
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 HBM Architecture team defines the future of memory systems that enable next-generation AI, machine learning, and high-performance computing applications. By researching advanced memory architectures, system designs, and emerging technologies, the team develops innovative solutions that maximize performance, scalability, and efficiency for future memory products.
As a Memory System Architect on the HBM Architecture team, you will contribute to the definition of future memory architectures supporting Generative AI and data-intensive workloads. You will research and evaluate advanced memory system concepts, analyze AI accelerator architectures, and develop models that guide product strategy and technology roadmaps for next-generation memory solutions.
Responsibilities
  • Research and evaluate advanced memory architecture concepts for AI accelerators, including GPU, TPU, and emerging compute platforms.
  • Develop and analyze system-level models to assess performance, power, scalability, and efficiency across memory and compute architectures.
  • Investigate memory hierarchy optimizations involving HBM, DRAM, cache, storage, and interconnect technologies.
  • Evaluate architectural trade-offs and emerging technologies, including compute-near-memory concepts, to support future product development.
  • Collaborate with cross-functional teams to translate research findings into architecture recommendations and long-term technology roadmaps.

Minimum Qualifications
  • 0-2 years of relevant experience through research, internships, academic projects, publications, or industry experience in computer architecture, memory systems, AI hardware, or high-performance computing.
  • Master's degree, PhD, or equivalent experience in Computer Architecture, Electrical Engineering, Computer Engineering, Computer Science, or a related technical field.
  • Strong understanding of GPU, TPU, AI accelerator, or large-scale computing architectures.
  • Knowledge of memory hierarchy concepts, including caches, HBM, DRAM, storage systems, and memory performance optimization.
  • Experience with performance modeling, architectural simulation, system analysis, or related research methodologies.
  • Programming experience in Python, C++, and/or AI computing frameworks such as CUDA, TensorFlow, or similar technologies.
  • Strong analytical, problem-solving, communication, and collaboration skills.
  • Familiarity with AI-enabled tools and large language models (LLMs) such as Copilot, Claude, or similar technologies.

Preferred Qualifications
  • Research experience in AI accelerators, computer architecture, memory systems, high-performance computing, or large-scale distributed systems.
  • Experience with compute-near-memory, processing-in-memory, or advanced memory architecture concepts.
  • Publications, conference presentations, patents, or demonstrated technical contributions in relevant research areas.
  • Familiarity with industry-standard memory technologies, interfaces, and protocols.
  • Experience developing architectural roadmaps, technology strategies, or long-term product planning recommendations.
  • Knowledge of rack-scale systems, AI infrastructure, networking, or large-scale training and inference environments.

The US base salary range that Micron Technology estimates it could pay for this full-time position is:
$103,000.00 - $210,000.00 a year
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.

Skills Required

  • 0-2 years of relevant experience through research, internships, academic projects, publications, or industry experience in computer architecture, memory systems, AI hardware, or high-performance computing
  • Master's degree, PhD, or equivalent experience in Computer Architecture, Electrical Engineering, Computer Engineering, Computer Science, or a related technical field
  • Strong understanding of GPU, TPU, AI accelerator, or large-scale computing architectures
  • Knowledge of memory hierarchy concepts, including caches, HBM, DRAM, storage systems, and memory performance optimization
  • Experience with performance modeling, architectural simulation, system analysis, or related research methodologies
  • Programming experience in Python, C++, and/or AI computing frameworks such as CUDA, TensorFlow, or similar technologies
  • Strong analytical, problem-solving, communication, and collaboration skills
  • Familiarity with AI-enabled tools and large language models such as Copilot, Claude, or similar technologies
  • Research experience in AI accelerators, computer architecture, memory systems, high-performance computing, or large-scale distributed systems
  • Experience with compute-near-memory, processing-in-memory, or advanced memory architecture concepts
  • Publications, conference presentations, patents, or demonstrated technical contributions in relevant research areas
  • Familiarity with industry-standard memory technologies, interfaces, and protocols
  • Experience developing architectural roadmaps, technology strategies, or long-term product planning recommendations
  • Knowledge of rack-scale systems, AI infrastructure, networking, or large-scale training and inference environments

Micron Technology Compensation & Benefits Highlights

  • Retirement Support A company 401(k) match with multiple savings options and investment choices supports long‑term financial security. This element stands out as a core strength within the overall package.
  • Equity Value & Accessibility An employee stock purchase plan offered at a meaningful discount and management‑granted RSUs provide accessible ownership opportunities that can bolster total compensation. These programs create upside beyond base pay.
  • Healthcare Strength Multiple medical plan choices with dental, vision, and company‑paid disability and life coverage, plus an EAP and some onsite/near‑site health centers, indicate robust core protection. The breadth of health options is consistently emphasized across the offering.

Micron Technology Insights

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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
HQBoise, ID
Bengaluru, Karnataka
Folsom, CA
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Longmont, CO
Madhapur, Telangana
Manassas, VA
Milpitas, CA
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Singapore, SG
Sydney, AU
Ulsoor, Bengaluru
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