Intern - GNN – Advanced Memory System Research (Summer 2026)

SK hynix America•San Jose, CA

3d•$26 - $50•Onsite

About The Position

At SK hynix America, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape. We're looking for innovative minds to join our mission of shaping the future of technology. At SK hynix America, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change – we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing.

Requirements

Accepted or currently enrolled in a PhD/MS program in Computer Science or a related STEM field
Expected to complete degree by July 2027 or earlier for PhD’s and 2026 for MS candidates
Hands on experience with GNN frameworks like PyG, DGL, or PyTorch
Excellent programming skills in Python, CUDA, and C
Strong knowledge on a memory-storage IO path including GPU-direct and CXL/PCIe specification

Responsibilities

Demonstrate feasibility of GNN Training system with advanced memory solutions (HBM)
Excellent in reading research papers and implementing them to code
Build and evaluate the advanced memory system for a GNN training