samsungsemiconductor · San Jose, California, United States
Skills: Python
Please Note: To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. Advancing the World’s Technology Together Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future. We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities. What You’ll Learn Project Overview: Research the AI system architecture up to the rack level, breaking the memory wall for long-horizon agents: next-generation memory hierarchies that hold more context without losing accuracy or speed. Skills You’ll Learn: Memory hierarchy design and optimizations for AI inference Performance modeling and design-space exploration of AI systems Characterization of agentic and long-context LLM workloads Turning research into publications and future products What You’ll Do The Architecture Research Lab (ARL) is tackling two of the biggest challenges in AI today—memory bandwidth and communication bottlenecks. By leveraging Samsung’s world-leading memory technologies, we are developing next-generation AI systems that break through these limitations while improving developer productivity. This internship explores how memory systems should evolve for agentic AI. AI agents work over long horizons, across many turns, and build up context faster than memory capacity and bandwidth grow. As a result, their accuracy and speed decline. You will research memory architectures and system optimizations that keep long-horizon inference accurate and efficient, evaluate th…
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