Reusable medium-to-heavy lift Terran R rocket and Aeon engine developer
Relativity Space is building Terran R, a reusable medium-to-heavy lift launch vehicle, alongside its Aeon-R engine program. The stack pairs PLM and simulation (Siemens NX, Teamcenter, Ansys, Abaqus, FLOW-3D) with factory robotics (KUKA, Fanuc), MES and SCADA, and is adding DMG Mori machining, pointing to a shift from development toward production. Hiring is heavily senior and engineering-led, with manufacturing the second focus, matching pain points around rocket production scale and quality systems.
Relativity Space is a privately held aerospace company founded in 2016 and headquartered in Long Beach, California. It is developing Terran R, a reusable rocket designed to carry customer payloads to orbit, along with the Aeon engine family that powers it. The company employs between 1,001 and 5,000 people, with hiring concentrated in the United States. Its work spans vehicle structures, engine development, powder bed fusion printing of engine components, launch pad infrastructure and supply chains for complex machined parts.
Relativity Space uses Siemens NX, Teamcenter, CATIA and SolidWorks for design, Ansys, Abaqus and FLOW-3D for simulation, KUKA and Fanuc robotics, MES and SCADA, plus C++, Python, Rust and FreeRTOS on AWS.
Current work centers on Terran R primary structure manufacturing, first launch support, Aeon-R engine development, PBF printing of engine components and launch pad propellant and gas infrastructure.
Yes. Engineering dominates Relativity Space's hiring, followed by manufacturing and operations, with a strong tilt toward senior and staff-level roles, all based in the United States.
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Relativity Space's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.