Manager, Engineering (Power Generation)

As the Power Generation Engineering Manager at xAI, you will lead the engineering, design, and optimisation of large-scale power generation systems to power our next-generation AI superclusters.

You will own the technical strategy for reliable, high-capacity power infrastructure , from gas turbines and combined-cycle plants to emerging technologies , ensuring uninterrupted power for our mission-critical AI training facilities.

Key responsibilities include:

• Leading the engineering design, specification, procurement, and commissioning of large-scale power generation systems (50MW+)

• Developing and optimising power generation strategies focused on maximum reliability, efficiency, and cost-effectiveness for 24/7 AI workloads

• Managing and growing a team of power generation, mechanical, electrical, and controls engineers

• Partnering closely with Site Selection, Construction, Operations, and Utilities teams on new data centre campuses

• Evaluating and implementing technologies including natural gas turbines, reciprocating engines, battery storage, fuel cells, and hybrid systems

• Ensuring all systems meet N+2 or higher redundancy, availability, and safety standards

• Overseeing technical due diligence for utility interconnects, power purchase agreements, and behind-the-meter generation

• Driving performance improvements in efficiency, emissions, and operational flexibility

• Staying current on regulatory, environmental, and grid compliance requirements

Basic qualifications include:

• A Bachelor's degree in Mechanical Engineering, Electrical Engineering, Power Engineering, or a related field

• 10+ years of experience in power generation engineering and project delivery

• 4+ years of people management or technical leadership experience

• Deep expertise in gas turbine, reciprocating engine, or combined-cycle power plant design and operation

• Proven success delivering large-scale power projects on time and on budget

Preferred skills and experience include:

• Experience supporting hyperscale data centres or AI infrastructure

• Background working with EPC contractors, major OEMs (GE, Siemens, Wärtsilä, etc.), and utilities

• Knowledge of energy markets, fuel supply chains, microgrids, and emerging technologies (e.g., hydrogen-ready systems)

• Professional Engineer (PE) license or advanced degree

• Strong project management and cross-functional leadership skills

Additional requirements include:

• Ability to work in a fast-paced, ambiguous environment and make high-impact technical decisions

• Willingness to travel to xAI sites as needed

• Passion for building infrastructure at unprecedented scale to advance AI