Sr. Staff AI Engineer - On-Prem AI Infrastructure & Agentic Systems
SK hynix memory solutions
San Jose, CA, US
Onsite
2026-06-25
Announced salary
$140k–$165k
Low
$116K
Median
$153K
High
$202K
Market in San Jose · BLS OEWS 2025
Job description
**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.
**Why Join Us?**
* Build foundational AI infrastructure that powers next\-gen enterprise systems.
* Work on cutting\-edge agentic AI — not just chatbots, but autonomous systems that reason, plan, and act.
* Opportunity to influence AI strategy, deployment, and governance in a high\-impact environment.
**About the Role:**
We are seeking a hands\-on AI Engineer to design, deploy, and maintain on\-prem AI infrastructure and build agentic AI systems that drive real\-world automation. You'll be responsible for setting up scalable AI environments, implementing RAG pipelines, fine\-tuning embedded models, and architecting AI agents that operate autonomously in enterprise settings. This role sits at the inters
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