Member of the Technical Staff - Systems

We believe demand for compute will grow exponentially. So fast that a handful of vertically integrated providers won't be able to scale across operations, capital, supply chains, and politics to serve it. The result is a massive wave of fragmentation, with AI factories of every shape and size coming to market to fill this demand. Our job is to enable all of that fragmented compute to flow through one platform, delivering reliable capacity to model builders, research labs, and inference providers when they need it. We believe every spare electron should be made productive for AI and we're building the platform that makes that possible.

We sit at the center of three forces:

• Companies that need reliable, high-performance compute fast

• A fragmented global supply of GPUs across hyperscalers, neoclouds, and independent data centers

• Capital, risk, and operational complexity that most teams are not equipped to manage

When we succeed, trillions of dollars of compute will flow through Andromeda. Builders get capacity when they need it. Providers get a reliable way to monetize, operate, and finance infrastructure at scale. Capital gets an easy way to deploy, hedge, and underwrite.

In five years, Andromeda won't just participate in the AI infrastructure market. We will shape it.

• Impressive technical work you can go deep on, with impact in the world. That can take three years or twenty.

• Experience building high-performance distributed systems at scale

• Strong low-level Linux foundations: kernel, drivers, filesystems, containers, PCIe

• Experience with performance engineering

• Production experience in Rust, C, or Go

• Ability to participate in on-call rotations and respond to production incidents

Experience with QEMU/KVM, eBPF, RDMA, or BIOS/UEFI internals is nice to have, but not required.