Get more replies from employers
Send a job-specific resume in minutes.
United States Digital Space LLC is developing Starmind, a satellite-based AI compute network. Integration & Test Engineer will own the manufacturing line for hardware enabling on-orbit AI processing, including assembly, integration, and testing of compute electronics, memory, and networking.
The role requires hands-on design and testing experience in propulsion/thermal/electrical/structural systems, collaboration with cross-functional teams, and the ability to drive test flows in a production
the company was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today the company is actively developing the technologies to make this possible, with the ultimate goal ofenabling human life on Mars.
the company isleveragingits experience deploying andoperatingthe world's largest satellite constellation to developStarmind, a new constellation of satellites capturing solar energy in space to power low-cost, high-performance AI compute for Earth. Realizing this vision demandshighly reliable,high performanceelectricalcomputehardware, solar power systems, thermal radiators, and more. These systems mustoperatein the extreme environment of space while delivering the connectivity, control, power distribution, and processing needed for orbital AI inference.
The Starmind team designs, builds, and operates the orbital compute fabric of the future. We develop nearly every key piece of technology in house - from the satellites' flight computers and power systems to the fully custom compute electronics, memory, and networking that form the brain of our on-orbit data centers. As a Integration & Test Engineer on the Starmind team, you'll have ownership over the entire manufacturing line for the hardware that enables advanced on-orbit AI processing and data center workloads. Your work spans the assembly, integration, and testing of industry-leading compute electronics, memory, and networking in order to achieve required domain sizes and processing workloads.