Location: Los Angeles, CA Team: Engineering, Controls Reports to: Chief Engineer
The US needs 1.5 terawatts of new power by 2035. AI has scaled beyond our ability to build power, and the existing power supply chain is the bottleneck. You cannot buy a new gas turbine until 2030: order books at GE, Siemens, and Mitsubishi stretch past 2030. Turbine prices have nearly tripled since 2019. The future demands a new kind of hardware company, building a new kind of turbine. That’s Stone.
We are America’s Turbine Company, designing, fabricating, and deploying turbines for a $200B+ market that’s tripling by the early 2030s. We are building our own factories. We are delivering our own natural gas, steam, and advanced turbines. And we are doing it with an AI stack built specifically for hardware.
Natural gas turbines are the first leaf on a multi-decade tech tree. The same physics kernel, the same factory, and the same team will deliver nuclear turbines, geothermal turbines, heat recovery systems, and propulsion engines. Nat gas is how we get going. Nuclear (on and off planet) is how we become a generational company.
This is a founding team role: one of the first engineers who will define the culture, pace, and competency bar at Stone. Every founding employee has shipped hardware at scale, and we keep doing it for the love of the game. The data is only half the moat; the ability to turn our designs into atoms rapidly closes the loop. In power generation, we are both Nvidia and TSMC.
This role as a Responsible Engineer (RE) focuses on the development of controls for a combined cycle powerplant. The position involves the development of controls schemes across the natural gas turbine, HRSG, Steam Turbine, and associated auxiliaries.
Key responsibilities include system engineering, control architecture specifications, hardware decisions and procurement, and delivery of a digital twin simulation environment. The RE will be the primary owner of the controls on 1 or more turbines, tasked with developing the concept of operations from acceptance testing through deployment performance.