AI Data Center Testbed Technical Lead

About the role

SK hynix America is seeking an experienced Technical Lead to operate an AI Data Center Testbed. The role involves evaluating solution partners’ technologies and determining optimal infrastructure configurations for next‑generation AI/HPC systems.

Responsibilities

• AI/HPC Infrastructure Architecture: design and optimize system architecture for a 1–5 MW class AI Data Center Testbed.
• Solution Partner Evaluation: perform 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

• Master’s degree or higher in Computer Engineering or a related field (Ph.D. preferred).
• 15+ years of experience in distributed systems, cluster computing, and cloud infrastructure.
• Hands‑on experience with heterogeneous 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.

Preferred Qualifications

• HPC 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 a relevant field.
• Publications in technical conferences or journals.

Core Competencies & Key Requirements

• System Architecture: distributed systems cluster and 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.
• Technical Skills: system architecture & design, distributed/cluster computing, cloud infrastructure & virtualization, resource allocation & task scheduling, network topology & monitoring, storage systems (NoSQL preferred), automation & test infrastructure, programming (C/C++, Python, Perl, Java).

Benefits

• Top‑tier health insurance at no employee cost.
• Paid Time Off, Company Holidays, Parental Leave, Happy Fridays.
• 401(k) 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, and dinner provided to employees.

Pay

Pay Range: $155,000 USD – $210,000 USD. Compensation varies by work location, skills, and experience.

Work Model

Onsite.