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Member of the Technical Staff - Systems

Summary

Builds and optimizes high-performance distributed systems (storage, networking, virtualization) to manage tens of thousands of GPUs across datacenters for AI workloads.

Member of the Technical Staff, Systems

Location: North America Remote / San Francisco, CA · Full-Time

About Andromeda

Andromeda gives AI companies access to the kind of scaled compute once reserved for hyperscalers. Our platform connects 100+ AI customers to 50+ global providers, with billions of GPU-hours supported, and those numbers are all rapidly growing. We combine enterprise-grade reliability with the speed and economics of an open market, serving teams running everything from large-scale training to production inference.

Nat Friedman (former CEO of GitHub) and Daniel Gross (former head of AI at Apple, YC partner) started Andromeda in 2023 with a single GPU cluster. It filled almost immediately. Three years later, we're a $1.5B company, profitable since day one, with a Series A from Paradigm to scale the platform globally. The global flow of compute is already a multi-trillion dollar market, and our team is building the infrastructure that enables it to continue to scale.

The problem is deceptively hard. Not all compute is equal: interconnect, networking, OEM, firmware, and cluster age all vary across providers, and the differences matter at scale. Our platform benchmarks and validates capacity, takes positions, structures contracts, and operates clusters globally, delivering a consistent product regardless of where it runs. No one else has built this layer, and the AI industry can't scale without it.

The Role

We are looking for strong engineers with experience and interest in designing and building high performance systems across, but not limited to: storage, networking, virtualization, container runtimes.

Requirements

  • 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.

Andromeda Cluster is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

What this application asks

ashby

Name, Email, Resume

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