Deployment Engineer
Location: Remote (US) · Full-Time · Travel up to 50%
About Andromeda
Andromeda is a market and infrastructure platform to buy, sell, and operate compute.
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.
The Role
Andromeda's infrastructure team designs, deploys, and operates large-scale GPU clusters for AI labs and compute providers. The Deployment Engineer runs cluster builds on site, from hardware delivery to ready-for-service. You direct integrators and contractors day to day, own the punch list, and hand over a validated cluster to operations. You report to the Head of Infrastructure.
What You'll Own
On-site execution: Receiving, rack and stack, cabling, power-on, firmware, burn-in, and acceptance testing.
Vendor management: Daily direction of integrators and contractors against the build plan.
Quality: Inspection against design, punch lists, and closure before acceptance.
Handover: Documentation, as-built records, and a clean handover to the operations team.
Runbooks: Deployment runbooks and checklists that shorten the next build.
What We're Looking For
GPU deployments: You have deployed GPU servers or clusters in production data centers.
Systems skills: Linux, BMC and Redfish, firmware management, and hardware diagnostics.
Liquid cooling: Experience commissioning direct liquid-cooled racks.
Ownership: You run a site without close supervision and escalate early.
Travel: You can spend periods on site.
Strong Candidates May Have
Rack-scale systems: GB200 or GB300 NVL72 bring-up.
Automation: Scripting for provisioning, burn-in, and inventory.
Integrator background: Experience at an OEM or systems integrator delivering large builds.
Why You'll Love It Here
Lead builds end to end and see clusters go from crates to production
Shape the deployment playbook from the first builds
High talent density, high trust team shaping the compute market
Comprehensive benefits for you and your dependents, including healthcare, dental, and vision coverage, 401(k), and unlimited PTO
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.
Skills Required
- Experience deploying GPU servers or clusters in production data centers
- Experience with Linux, BMC, Redfish, firmware management, and hardware diagnostics
- Experience commissioning direct liquid-cooled racks
- Ability to run a site without close supervision and escalate issues early
- Ability to spend periods on site and travel up to 50%
- Experience bringing up GB200 or GB300 NVL72 rack-scale systems
- Scripting experience for provisioning, burn-in, and inventory
- Experience at an OEM or systems integrator delivering large builds
What We Do
Andromeda Cluster was founded by Nat Friedman and Daniel Gross to give early-stage startups access to the kind of scaled AI infrastructure once reserved only for hyperscalers. We began with a single managed cluster — but it filled almost instantly. Since then, we’ve been quietly building the systems, network, and orchestration layer that makes the world’s AI infrastructure more accessible. Today, Andromeda works with leading AI labs, data centers, and cloud providers to deliver compute when and where it’s needed most. Our platform routes training and inference jobs across global supply, unlocking flexibility and efficiency in one of the fastest-growing markets on earth. Our long-term vision is to build the liquidity layer for global AI compute. We are expanding to new frontiers to find the brightest that work in AI infrastructure, research and engineering.
