AI Data Center Testbed Technical Lead

SK hynix America

• $155K — $210K *
Enterprise Technology
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree or higher in Computer Engineering or 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 frameworks (OpenCL, CUDA, etc.)
  • Experienced in Linux platform and system-level programming
  • Business-level English communication and documentation skills

Responsibilities

  • Design and optimize AI/HPC infrastructure architecture for a 1-5MW class data center testbed
  • Conduct technical validation and compare assessments of hardware/software solutions from solution partners
  • Analyze trade-offs to optimize compute, memory, networking, and storage performance
  • Develop automated test infrastructure and benchmarks
  • Establish a technical roadmap and standardization strategies for future AI/HPC infrastructure
  • Collaborate with internal teams and external partners to validate integration and performance

Benefits

  • Top tier health insurance at no employee cost
  • Generous paid time off including PTO, company holidays, and parental leave
  • 401k matching program
  • Flexible Spending Account (FSA) for health care and dependent care
  • Educational reimbursement up to $10,000 per year
  • Donation matching and volunteering opportunities
  • Corporate discount programs
  • Free meals provided to employees
Full Job Description
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 work location and may also depend on job-related skills and experience. Your Recruiter can share more about the specific salary range for the job location during the hiring process.

Pay Range

$155,000-$210,000 USD

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