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(#6318080003) Intern, CXL Deep Memory Research Scientist

Samsung Semiconductor, Inc.
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What You’ll Learn

  • Project Overview: 
    • The project focuses on analyzing the direct storage and CXL-based deep memory hierarchy for GPUs and evaluation of the same for a variety of memory bandwidth intensive GPU workloads with and without persistency needs 
  • Skills You’ll Learn:
    • Conducting research on state-of-the-art memory technologies
    • Simulating memory-bound workloads and quantitative evaluation of the deep memory hierarchies using the same 
    • Developing IP and research artifacts for publishing
    • Collaborating with a team of industry experts to solve challenging problems 

What You’ll Do

Samsung Semiconductor, Inc. is a world leader in Memory, System LSI and LCD technologies. As a summer intern of Samsung’s Memory Solutions Lab (MSL), you will be part of an Advanced Research and Development team developing the next generation of enterprise memory and storage technologies. The team innovates, solves key technical problems in areas and products related to Samsung’s HBM, DRAM and NAND flash memory technologies, and tackles a variety of challenging issues in data center, server, and AI software infrastructure. 

You will be working with a team of experts in a highly dynamic, fast-paced, results-driven environment. We are looking for highly talented, passionate, and versatile students who share our vision and contribute to the creation of next generation memory solutions

Location: Hybrid, working onsite at our San Jose headquarters 3 days per week with the flexibility to work remotely the remainder of your time 

Reports to: Sr. Manager, SW Dev. Infrastructure Engineering

  • Conduct key research and develop solutions to model, simulate, and evaluate next-generation memory systems for modern memory bandwidth-intensive workloads 
  • Create key IPs, implement prototypes, write or publish papers 
  • Collaborate with team members to drive progress 

What You Bring

  • Currently pursuing a PhD in CS or ECE, with at least 1 academic quarter/semester remaining
  • Strong problem-solving skills with proficiency in Python, C/C++, CUDA programming and related toolchains
  • Knowledge in memory architectures, simulation tools/techniques, memory-intensive workload generation and modern interconnect standards such as CXL
  • Prior experience with GPU based system evaluation and bottleneck analysis is a plus, but not required
  • Must be highly motivated with excellent verbal and written communication skills
  • You’re inclusive, adapting your style to the situation and diverse global norms of our people.
  • An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
  • You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
  • Innovative and creative, you proactively explore new ideas and adapt quickly to change.