AI Data Center Testbed Technical
Posted 23 Sep 2026
Advertised as “AI Data Center Testbed Technical Lead”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 15+ yrs
- Management level
- Individual contributor
- Visa sponsorship
- Not offered
No salary listed for this role.
Field of studyComputer Engineering (or related)
Study levelMaster's or higher
Field of studyComputer Engineering (or related)
Study levelMaster's or higher
About SK hynix America:
At SK hynix America, we are at the forefront of semiconductor innovation. As a global leader in HBM, DRAM, and NAND flash technologies, we develop the advanced memory solutions powering everything from advanced mobile technology to massive AI data centers. With major investments in the U.S. and a leading position in the global AI revolution, we build the critical infrastructure of the digital landscape and remain committed to sustainable operations. We invite innovative minds to be part of our journey. Here, you will be part of a collaborative team pioneering the next generation of memory technologies, expanding our market footprint, and defining the future of computing.
Work Model: Onsite
About This Role:
SK Hynix is seeking an experienced Technical Lead to operate our AI Data Center Testbed. The successful candidate will evaluate various solution partners' technologies and determine optimal infrastructure configurations for next-generation AI/HPC systems.
Key Responsibilities:
- AI/HPC Infrastructure Architecture: Design and optimize system architecture for 1~5MW class AI Data Center Testbed
- Solution Partner Evaluation: Technical validation and comparative assessment of hardware/software solutions from various partners
- Performance Optimization: Analyze trade-offs between compute, memory, networking, and storage; optimize system-level performance and thermal efficiency
- Test Infrastructure Development: Build automated test infrastructure and benchmark environments
- Technology Roadmap: Establish technical roadmap and standardization strategies for next-generation AI/HPC infrastructure
- Cross-functional Collaboration: Work with internal teams and external solution partners to validate integration and performance
Required Qualifications:
Education
- Master degree or higher in Computer Engineering or related field (Ph.D. preferred)
Experience
- 15+ years of experience in distributed systems, cluster computing, and cloud infrastructure
- Hands-on experience with heterogeneous computing and accelerated computing architectures
- Strong understanding of GPGPU technologies and related frameworks (OpenCL, CUDA, etc.)
- Linux platform and system-level programming experience
- Business-level English communication and documentation skills
Technical Skills
- System Architecture & Design