AI Infrastructure Engineering TechnicianNAVIGO

If you're the type of person who builds computers for fun, enjoys solving difficult technical problems, and wants to help build AI infrastructure at a scale most people never get to experience, we'd love to hear from you.

We're building next-generation AI compute technology designed to support large-scale GPU clusters, advanced liquid cooling systems, and high-density electrical infrastructure. This is not a typical warehouse or maintenance position—you'll work alongside engineers building the physical infrastructure that powers modern artificial intelligence.

Every week presents something different. One day you may be wiring three-phase electrical equipment, the next installing liquid cooling systems, assembling GPU racks, fabricating mechanical components, commissioning servers, or troubleshooting networking equipment.

If you enjoy solving difficult technical problems and building things that very few people ever get to work on, we'd like to meet you. We hire for attitude, curiosity, and problem-solving ability. If you don't meet every qualification but are passionate about building advanced technology, we encourage you to apply.

What You'll Do

• Assist with construction of high-performance AI compute infrastructure

• Install and assemble electrical distribution equipment (208V/480V three-phase)

• Route conduit, pull wire, terminate cables, and install panels under engineering guidance

• Assemble and modify server racks and mechanical structures

• Install liquid cooling equipment, pumps, heat exchangers, hoses, and fittings

• Build and cable GPU servers and networking equipment

• Commission, troubleshoot, and repair electrical and mechanical systems

• Read wiring diagrams, mechanical drawings, and engineering documentation

• Operate forklifts, lifts, and shop equipment safely

• Maintain organized inventory and documentation

• Support prototype development and continuous improvement projects

• Perform hardware bring-up, diagnostics, and commissioning of GPU servers and supporting infrastructure

Qualifications

• 3+ years of hands-on technical experience preferred

• Trade school, military training, engineering technology degree, or equivalent experience

• Ability to lift up to 75 pounds

• Comfortable using power tools and precision hand tools

• Valid driver's license

• Strong attention to detail

• Excellent problem-solving skills

Hands-on technical experience through work, military service, trade school, personal projects, or equivalent experience may be accepted as well.

Experience in several of the following areas is preferred:

• Industrial electrical systems

• Three-phase power

• Mechanical assembly

• Industrial maintenance

• Robotics or automation

• Data centers

• Networking

• Server hardware

• Liquid cooling or plumbing systems

• Fabrication

• Linux and basic command-line troubleshooting

• Controls or PLC systems

• Test equipment (multimeters, clamp meters, oscilloscopes)

• Forklift or lift operation

Military technical experience is highly valued.

• Electrical license or apprenticeship

• OSHA 10 or OSHA 30

• NFPA 70E awareness

• Fiber optic experience

• Welding or fabrication experience

• CAD experience

• Industrial controls experience

• AI GPU clusters

• Liquid cooling systems

• Three-phase electrical distribution

• High-speed networking

• Rack-scale infrastructure

• Power distribution systems

• Prototype engineering projects

• Offshore AI infrastructure development

• Comfortable assembling and upgrading desktop computers and enterprise servers

• Experience installing CPUs, memory, storage, GPUs, and networking hardware

• Familiarity with Linux or macOS Terminal (or Windows PowerShell)

• Comfortable using command-line tools for basic troubleshooting

• Basic networking knowledge (Ethernet, switches, IP addressing)

• Experience updating firmware, BIOS, and operating systems

• Able to diagnose hardware failures and replace components

• Experience with enterprise servers or data center hardware is a plus

• Experience with virtualization, Docker, or Kubernetes is a plus but not required

Competitive hourly compensation based on experience. Possible opportunities for advancement as the company grows.