Power Generation Engineer – Gas Turbines for AI Datacenters

Pantera Capital

Southaven (MS)

On-site

USD 105,000 - 160,000

Full time

14 days+
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Job summary

SpaceXAI is building Colossus, the world’s largest AI supercomputer, in Memphis. We seek a Power Generation Engineer to ensure reliable operation and optimization of natural gas turbines and associated power systems powering our AI datacenter.

Ideal candidates bring 5+ years in power generation, strong turbine/controls expertise, and a track record of safety, efficiency, and collaboration with cross‑functional teams in high‑reliability environments.

Qualifications

  • Bachelor's degree in an engineering discipline related to power generation.
  • 5+ years of experience in power generation, natural gas plants, or turbines.
  • Strong understanding of turbine operations, control systems, and power distribution.

Responsibilities

  • Oversee daily operations of natural gas turbines and related power generation equipment, ensuring safety and environmental standards.
  • Monitor and analyze power generation systems to minimize downtime and maximize efficiency for the AI datacenter.
  • Collaborate with electrical engineers and datacenter operations to integrate power systems with AI infrastructure needs.
  • Perform regular maintenance, troubleshooting, and upgrades on turbines, generators, and control systems.

Skills

Power generation
Turbine operations
Control systems
Troubleshooting
Safety & compliance

Education

Bachelor's degree in Mechanical Engineering
Bachelor's degree in Electrical Engineering
Bachelor's degree in Chemical Engineering

Job description

SpaceXAI is building Colossus, the world’s largest AI supercomputer, in Memphis. We seek a Power Generation Engineer to ensure reliable operation and optimization of natural gas turbines and associated power systems powering our AI datacenter.

Ideal candidates bring 5+ years in power generation, strong turbine/controls expertise, and a track record of safety, efficiency, and collaboration with cross‑functional teams in high‑reliability environments.

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