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AI Data Center Operations Contractor

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: SK hynix America
Seasonal/Temporary, Contract position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Systems Engineer
Salary/Wage Range or Industry Benchmark: 110000 - 160000 USD Yearly USD 110000.00 160000.00 YEAR
Job Description & How to Apply Below

AI Data Center Operations Contractor

Office

Location:

San Jose, CA

Job Type: Contract (6 - 12 months)

Work Model: Onsite

About SK hynix America

At SK hynix America, we are at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of mobile technology, cloud computing, and future technologies while maintaining a strong commitment to sustainability.

Position Overview

SK hynix is seeking a seasoned AI Data Center (DC) Operations Contractor to join our DC facilities management team for a 6-12 month engagement. This role requires extensive operational experience managing high‑performance computing environments that support AI/ML workloads and involve power, thermal, and preventive maintenance management.

Responsibilities
  • Optimize AI Infrastructure Performance:
    Enhance the performance, reliability, and efficiency of our AI computing systems, ensuring continuous availability while managing high‑density workloads.
  • Monitor & Manage Critical Systems:
    Lead daily operations, monitor power consumption across GPU clusters, manage cooling systems, coordinate water resource use, and develop AI‑specific SOPs.
  • Ensure Regulatory Compliance:
    Maintain adherence to permits, regulations, and certifications, conduct audits, liaison with inspectors and utilities.
  • Lead Technical Optimization Initiatives:
    Implement power and thermal management strategies, optimize cooling distribution, and schedule maintenance to minimize disruptions.
Continuous Contribution Areas
  • Identify efficiency improvements and develop enhanced monitoring capabilities.
  • Establish best practices and create comprehensive documentation for critical procedures.
  • Implement automation to reduce manual intervention and improve operational consistency.
Qualifications
  • Hands‑on experience managing AI or high‑performance computing data centers.
  • Minimum 5 years of data center operations experience, at least 2 years focused on AI/ML infrastructure.
  • Experience managing GPU clusters with power densities >30 kW per rack.
  • Deep knowledge of cooling systems in AI/ML environments, including liquid cooling, chilled water, and advanced thermal technologies.
  • Ability to maintain target temperatures and troubleshoot cooling failures under pressure.
  • Comprehensive understanding of power management, UPS systems, generators, and electrical load balancing.
  • Skill in reading electrical diagrams and coordinating with utilities during outages.
  • Expertise in permit compliance and sustainability certifications such as ISO and Uptime Institute standards.
Preferred Qualifications
  • Bachelor’s degree or equivalent practical experience.
  • Operational pragmatism combined with strategic thinking.
  • Experience in 24/7 operations, incident response, and uptime >99.9%.
  • Commitment to safety, compliance, and cost efficiency.
Equal Employment Opportunity

SK hynix America is an Equal Employment Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees and prohibit discrimination and harassment of any type without regard to race, sex, pregnancy, sexual orientation, religion, age, gender identity, national origin, color, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.

Compensation

Pay Range: $110,000 – $160,000 USD.

Additional Information
  • Seniority level:
    Mid‑Senior level
  • Employment type:

    Contract
  • Job function:
    Information Technology
  • Industries:
    Semiconductor Manufacturing
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