At Vast, our mission is to contribute to a future where billions of people are living and thriving in space. Vast is developing next-generation space stations to ensure a continuous human presence in space for America and its allies, enabling advanced microgravity research and manufacturing, and unlocking a new space economy for government, corporate, and private customers. Using an incremental, hardware-rich and low-cost approach, Vast is rapidly developing its multi-module Haven Station. Haven Demo's 2025 success made Vast the only operational commercial space station company to fly and operate its own spacecraft. Next, Haven-1 is expected to become the world's first commercial space station when it launches, followed by additional Haven modules to enable permanent human presence by 2030. Our team is all-in, committed to executing our mission safely and on time. If you want to work with the most talented people on Earth furthering space exploration for humanity, come join us.
Vast is looking for a Mechanical Engineer, Interiors, reporting to the Manager, Structures Design, to support the development of the systems that will be required for the design and build of artificial-gravity human-rated space stations.
This will be a full-time, exempt position located in our Long Beach location.
As an Interior Mechanical Engineer on our Structures team, you'll design, engineer, test, and produce soft goods (textiles, closeouts, cargo packaging and restraint systems, upholstery, coverings, bedding, etc.) for human occupied modules. You will work closely with industrial designers, human factors, structural, and structural engineering to ensure these components are safe, comfortable, durable, manufacturable, and compatible with space habitat constraints. You will own major subsystem deliverables, from early concept through qualification, ensuring that materials and designs meet performance, safety, weight, volume, and maintainability requirements. You will need to balance competing constraints (mass, reliability, serviceability, safety, cost, manufacturability) under deep uncertainty and tight schedules.
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