
Intern - SMS Pathfinding Engineering
Richardson, TXInternshipSeen 1w agoSeen in employer's feed 5 days ago
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At a glance
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Requirements
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Job overview
The SMS Pathfinding intern will research photonic interconnect technologies for disaggregated memory architectures in future AI systems. The role involves developing models and analysis tools to evaluate silicon photonic memory fabrics, assessing system-level tradeoffs, and exploring optical interconnects’ effects on memory capacity, latency, bandwidth, energy efficiency, and scalability. The intern will work with architects, researchers, and industry partners to communicate findings and recommendations.
Skills & qualifications
Skills
Qualifications
Benefits
Full 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.
Department Overview
The Storage and Memory Systems (SMS) Pathfinding team explores next-generation memory, storage, and interconnect technologies that will enable future AI, cloud, and high-performance computing systems. The team evaluates emerging architectures, advanced memory solutions, and innovative technologies to help shape Micron's long-term product strategy and technology roadmap.
Position Overview
As an intern in the Storage and Memory Systems (SMS) Pathfinding group, you will research photonic interconnect technologies that enable disaggregated memory architectures for future AI systems. You will develop modeling and analysis tools to evaluate silicon photonic memory fabrics, assess system-level tradeoffs, and explore how optical interconnects can improve memory capacity, latency, bandwidth, energy efficiency, and scalability for next-generation AI workloads.
Responsibilities
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Develop parameterized photonic link budget and system-level models to evaluate optical memory fabrics, including lasers, modulators, waveguides, switches, photodetectors, and interconnect architectures.
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Analyze performance, latency, bandwidth, power efficiency, reliability, and scalability tradeoffs across photonic memory architectures and memory technologies such as HBM, DDR5, and LPDDR.
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Evaluate protocol and system-level impacts of CXL-based memory expansion and disaggregated memory architectures for AI workloads.
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Utilize AI-enabled tools and technologies to improve productivity, data analysis, technical problem solving, documentation, and decision-making.
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Calibrate and validate models using industry data, proof-of-concept platforms, simulations, and available measurement results.
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Collaborate with architects, researchers, and industry partners to communicate findings through technical reports, white papers, presentations, and architecture recommendations.
Minimum Qualifications
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0-2 years of relevant experience through research, internships, academic projects, publications, or coursework in photonics, optical interconnects, computer architecture, memory systems, or related fields.
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Currently pursuing a Master's or PhD degree in Electrical Engineering, Computer Engineering, Photonics, Optics, Applied Physics, or a related technical discipline.
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Coursework or research experience in silicon photonics, integrated optical devices, computer architecture, memory systems, interconnects, or system design.
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Proficiency in Python and scientific computing tools for modeling, simulation, and data analysis.
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Strong analytical, communication, presentation, and collaborative problem-solving skills.
Preferred Qualifications
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Experience with photonic link budget analysis, optical transceivers, optical communications, or photonic system modeling.
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Familiarity with CXL, PCIe, memory fabrics, memory expansion architectures, or large-scale system interconnects.
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Experience with photonic simulation tools such as Lumerical, GDSFactory, MEEP, SAX, Simphony, or similar platforms.
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Knowledge of AI infrastructure, AI inference workloads, GPU memory systems, memory pooling, or large language model architectures.
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Publications, research contributions, or hands-on experience involving photonic systems, optical networks, memory architectures, hardware characterization, or experimental validation.
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. (http://www.justice.gov/crt/worker-information)
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.
How this job compares
Set against the 2,129 open Engineering Intern jobs on Olive Jobs, counted November 4, 2026.
- Pay
- This postingNot listed
- US median$55–88K/yr130 salary ranges
- Texas median$22–31/hr46 hourly ranges
- Openings
- Olive Jobs lists 151 open Engineering Intern jobs in Texas and 2,129 across the US. Under 1% of them nationwide are listed as remote or flexible.
- Hiring the most in Texas
- HNTB17 open
- Paccar Winch Inc.11 open
- TEXAS DEPARTMENT OF TRANSPORTATION9 open
- Experience
- This posting asks for no prior experience; Engineering Intern postings that state a minimum ask for 0 years at the median (36 postings).
- Education
- This posting asks for a master's degree; 32 of the 2,129 open Engineering Intern jobs (2%) ask for a master's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 4, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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