Intern – Emerging Memory - Summer 2026 🎓

We are seeking a highly motivated research intern to work on AI system architectures and applications based on emerging memory technologies. The intern will contribute to research on memory-centric AI systems, spanning device characteristics, architecture design, and system-level evaluation.

Responsibilities:

• Conduct research on emerging memory technologies and their implications for AI systems

• Analyze and model memory behavior, bandwidth, latency, and energy efficiency in AI workloads

• Assist in the design and evaluation of memory-centric or near-/in-memory AI architectures

• Support AI system simulation, modeling, or prototyping at the architecture or system level

• Review and summarize relevant academic literature and technical reports

• Collaborate with researchers to prepare technical reports, presentations, or publications

Minimum Qualifications:

• Master's degree in Electrical Engineering, Computer Engineering, or a related field

• Basic understanding of AI systems, machine learning workloads, or computer architecture

• Fundamental knowledge of memory systems or semiconductor devices

• Strong analytical and problem-solving skills

• Experience with at least one programming or modeling tool (e.g., Python, C/C++, MATLAB)

Preferred Qualifications:

• Ph.D. in a relevant field with research experience in emerging memory

• Experience with architecture simulators, system modeling tools, or AI frameworks

• Understanding of AI workload characteristics (training vs. inference, data movement bottlenecks, memory hierarchy)

• Prior research experience or publications in related areas

• Interest in cross-layer research spanning devices, architecture, and AI applications

Housing Allowance:

Eligible interns will receive a housing allowance during their internship.