DURATION: SEPTEMBER 2025 - DECEMBER 2025

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.

INTERNSHIP SUMMARY:

• We are seeking a highly skilled and motivated Next-Generation Memory Solution Engineer to drive innovation in energy-efficient memory technologies. The ideal candidate will work on the research, development, and optimization of advanced memory architectures that integrate processing capabilities for enhanced computing performance.

MINIMUM QUALIFICATIONS:

• Master’s degree in Electrical Engineering, Computer Engineering, or a related field.
• Strong understanding of memory architectures (e.g., DRAM, HBM) and their role in modern computing.
• Knowledge of hardware/software co-design principles and memory hierarchy optimizations.
• Proficiency in C/C++, Python, or related programming languages.
• Familiarity with simulation tools for memory performance analysis and system modeling.

PREFERRED QUALIFICATIONS:

• Ph.D. in a relevant field with research experience in Processing-in-Memory (PIM) or near-memory computing.
• Experience with AI/ML accelerators, FPGA prototyping, or custom hardware design.
• Understanding of parallel computing, GPU architectures, and HPC.

• Research and develop next-generation memory architectures and solutions to improve computational efficiency.
• Design and optimize memory-centric computing systems for AI, HPC, and data-intensive applications.
• Collaborate with hardware and software teams to integrate next-generation memory solutions into existing and future computing platforms.
• Develop memory access patterns, data flow optimizations, and power-efficient architectures for memory solutions.
• Work on memory controller design, data movement optimization, and system-level performance analysis.
• Conduct benchmarking and validation of new memory technologies in real-world applications.
• Stay up-to-date with industry trends in next-generation memory, AI accelerators, and computing architectures
• Engage with research communities, publish findings, and contribute to technical conferences and patents.