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 year
Donation Matching and volunteering opportunities
Corporate discount programs
Free Breakfast/Lunch/Dinner provided to employees
Compensation:
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. Pay within the provided range varies by…