Embedded Software Engineer Intern

About the Company:

At SK Hynix Memory Solution, 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 Memory, 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 Duration: 6 months

Hours: 40 hours per week

Start Date: Immediately (October 2026/November 2026)

Location: San Jose

About the Role:

You will be a member of a group designing system-on-chip (SoC) for non-volatile memory devices. You will be a part of the embedded software development team to validate the product from concept phase, prototyping phase to mass production phase. You will contribute to the SoC development as well as storage solution development, by writing software to exercise all the essential SoC components.

Minimum Qualifications:

• Currently pursuing or recently completed a BS or MS in Electronic Engineering Computer Science or related fields
• Experience in Rust or C/C++ for embedded or firmware-level development
• Familiar with Python for scripting and testing workflows
• Familiar with Digital circuit design, computer architecture, memory systems

Preferred Qualifications:

• PhD in System-on-chip, high-performance computing, memory or storage research
• In-depth knowledge on NVMe technology
• In-depth knowledge on PCIe technology
• In-depth knowledge on Nand technology
• Familiar with FPGA development flow

COMPENSATION: $35/hr - $45/hr