Sr. Data Center Expert - AI Data Centers & Liquid Cooling

New Millennium Consulting
Jersey City, NJ, United States
1 day ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Computing Platforms Computer Clusters Computer Engineering Data Centers Uptime AI Infrastructure High Performance Computing Information Technology Hardware Infrastructure

Job description

We are seeking an experienced Data Center Infrastructure Expert with specialized knowledge of AI Data Centers, High-Performance Computing (HPC) environments, and advanced Liquid Cooling technologies., AI Data Center Infrastructure

  • Design, deploy, and optimize infrastructure for AI and GPU-intensive data center environments.
  • Understand high-density computing requirements for GPU clusters, AI servers, and HPC workloads.
  • Support infrastructure planning for next-generation AI data centers.
  • Evaluate rack density, power consumption, cooling capacity, and scalability requirements.

Liquid Cooling Technologies

  • Demonstrate practical knowledge of liquid cooling solutions used in modern AI data centers.
  • Work with technologies such as Direct-to-Chip (D2C) liquid cooling, Rear Door Heat Exchangers (RDHx), and immersion cooling.
  • Understand Coolant Distribution Units (CDUs), cooling loops, manifolds, pumps, heat exchangers, and coolant management.
  • Support installation, commissioning, troubleshooting, and optimization of liquid cooling infrastructure.
  • Understand thermal management challenges associated with high-density GPU deployments.

Data Center Power & Thermal Management

  • Understand high-density power distribution, rack-level power requirements, UPS, PDU, and electrical infrastructure.
  • Assess power and cooling capacity for AI infrastructure deployments.
  • Support thermal analysis, heat-load management, and energy efficiency initiatives.
  • Collaborate with electrical and mechanical engineering teams.

Infrastructure Design & Deployment

  • Participate in data center design, infrastructure upgrades, and expansion projects.
  • Evaluate rack configurations, server integration, cabling, airflow, and cooling requirements.
  • Work with vendors, engineering teams, and data center operators.
  • Support infrastructure testing, commissioning, and operational readiness.

Requirements

The ideal candidate will have hands-on experience designing, deploying, managing, or optimizing data center infrastructure capable of supporting high-density GPU-based computing environments., * This role requires a strong understanding of data center architecture, liquid cooling systems, power distribution, thermal management, and the infrastructure requirements associated with AI workloads.

  • Strong experience in Data Center Infrastructure and Operations.
  • Exposure to AI Data Centers, GPU clusters, or High-Performance Computing (HPC) environments.
  • Hands-on knowledge of liquid cooling technologies.
  • Understanding of Direct-to-Chip Cooling, Rear Door Heat Exchangers, or Immersion Cooling.
  • Knowledge of CDU, cooling distribution systems, pumps, manifolds, and heat exchangers.
  • Understanding of data center power distribution, UPS, PDU, and high-density rack configurations.
  • Knowledge of thermal management, heat dissipation, and cooling efficiency.
  • Experience with data center design, deployment, commissioning, or infrastructure optimization.

Preferred Skills:

  • Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Computer Engineering, or a related discipline.
  • Experience working with hyperscale data centers, AI infrastructure providers, or HPC facilities.
  • Familiarity with NVIDIA GPU infrastructure and platforms such as NVIDIA DGX or HGX.
  • Knowledge of data center standards and frameworks such as Uptime Institute Tier Standards, ASHRAE Thermal Guidelines, and TIA-942.
  • Relevant certifications in data center infrastructure, mechanical systems, electrical systems, or cooling technologies.

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