AI Data Center Commissioning Lead (High-Density GPU)

High Trail, Inc.; Town of Texas (WI); On-site; USD 120,000 - 165,000; Full time

Job summary

High Trail, Inc. in Wisconsin seeks an experienced AI Data Center Commissioning Engineer to lead commissioning, testing, and validation of mission-critical infrastructure supporting AI, GPU, and HPC environments.

You will collaborate with electrical, mechanical, controls, networking, and IT teams to ensure data center systems are installed, integrated, and operationally ready for high-density AI workloads.

Qualifications

• Bachelor’s degree or higher in a relevant engineering discipline.
• 5+ years in data center or mission-critical facilities commissioning or related engineering roles.
• Strong knowledge of electrical distribution and critical power infrastructure.
• Experience with UPS, generators, switchgear, PDUs, ATS/STS, and electrical distribution.
• Familiarity with data center cooling, controls, and DCIM/EPMS systems.

Responsibilities

• Lead commissioning, testing, and validation of data center infrastructure for AI workloads.
• Develop commissioning plans, test scripts, and functional performance tests.
• Interpret electrical and mechanical drawings and sequences of operation.
• Coordinate across electrical, mechanical, controls, networking, and IT teams in live environments.
• Troubleshoot, perform root-cause analysis, and ensure systems are operation-ready for high-density compute.

Skills

Data Center Commissioning

Critical Power Systems

AI Infrastructure

High-Density Compute

Hardware & Networking

Education

Bachelor’s degree in Electrical/Mechanical/Controls/Computer Engineering

Tools

BMS/EPMS/DCIM

PLC

Job description

High Trail, Inc. in Wisconsin seeks an experienced AI Data Center Commissioning Engineer to lead commissioning, testing, and validation of mission-critical infrastructure supporting AI, GPU, and HPC environments.

You will collaborate with electrical, mechanical, controls, networking, and IT teams to ensure data center systems are installed, integrated, and operationally ready for high-density AI workloads.