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San Francisco, California, United States
Hybrid
Location: North America Remote / San Francisco, CA · Full-Time
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.
We are looking for engineers to build and operate the control plane that runs our fleet. Your responsibilities will include:
The automated systems that take a cluster from bare machines to customer-ready
Machine lifecycle between tenants: join, wipe, verify, rejoin
Operating Kubernetes and Postgres across the fleet
Contributing to our custom Kubernetes operators
Scaling clusters from tens of nodes to thousands
Participating in on-call rotations
Impressive technical work you can go deep on, with impact in the world. That can take three years or twenty.
2+ years of on-call experience for critical production services
Deep Kubernetes experience
Strong Linux fundamentals: kernel, cgroups, containers, networking, storage
Experience operating databases, monitoring, CI/CD, and cloud infrastructure at scale
Familiarity with fleet management and capacity planning
Prior experience writing operators, or with GPUs, HPC scheduling, or bare-metal hardware 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.
