Sr. Data Center Expert - AI Data Centers & Liquid Cooling
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Role details
Tech stack
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:
- Bachelorβs 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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