Deployment Engineer
Andromeda Cluster
Deployment Engineer
Andromeda Cluster
On-demand GPU resources marketplace for AI
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.
On-demand GPU resources marketplace for AI
Andromeda AI Inc. runs a GPU compute marketplace that connects companies with a global network of providers for on-demand AI training and inference. It routes jobs across hundreds of providers—data centers, cloud services, and idle hardware from mining operations—handling sourcing, benchmarking, contracting, and a single consolidated billing flow. The platform differentiates itself by aggregating diverse compute sources and delivering end-to-end management, including the Andromeda Pricing Index to show fair, region- and contract-specific GPU prices, appealing especially to startups and labs that need flexible access. Its goal is to increase compute liquidity for AI workloads, making high-performance GPUs easier to access and more affordable for AI development and research.
Explore more opportunities at Andromeda Cluster