AI Data Center Testbed Technical Lead

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 • Distributed/Cluster Computing • Cloud Infrastructure & Virtualization • Resource Allocation & Task Scheduling • Network Topology & Monitoring • Storage Systems (NoSQL experience preferred) • Automation & Test Infrastructure • Programming: C/C++, Python, Perl, Java Preferred Qualifications: • HPC (High Performance Computing) data center operation experience • AI/ML workload optimization experience • Thermal management and power efficiency optimization experience • Solution vendor evaluation and partnership management experience • Advanced degree (M.S./Ph.D.) in relevant field • Publications in relevant technical conferences/journals Core Competencies: Competency Area Key Requirements System Architecture Distributed systems, cluster, cloud infrastructure design Accelerated Computing GPGPU, heterogeneous computing, hardware acceleration Performance Optimization System-level performance analysis and optimization Technical Leadership Translate complex requirements into production-ready solutions Partner Management Solution partner technical evaluation and collaboration Requirement: • Authorized to work in the US Benefits: • Top Tier health insurance at no employee cost • Paid day offs: Paid Time Off, Company Holidays, Parental Leave, Happy Fridays • 401k Matching • Flexible Spending Account (FSA) for Health Care & Dependent Care • Educational reimbursement up to $10,000 per yea