Cluster Architect
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 23h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 1d ago
The date the source published, not the day we noticed it (2026-11-04). Last seen at its source 5h ago.
We have tracked this listing since 4 Nov 2026 (1 days). The employer's own board has carried it every time we have read it, most recently 5 hours ago.
Is it remote?
North America Remote / San Francisco, CA
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
North America, United States
The description agrees: it names United States.
What the ad says
…Remote (…) US…
Pay not stated
Similar roles pay $155k–225k/yr
Middle 50% of 5452 listings that do state pay — Engineering · all levels · North America · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Ashby employer's own board first seen 1d ago · last seen 5h ago
The listing
Cluster Architect
Location: San Francisco, CA / Remote (US) · Full-Time
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 Cluster Architect owns our reference designs. You will turn customer requirements into complete cluster designs across compute, fabric, storage, management, and the power and cooling interface, and act as technical authority on every build. You report to the Head of Infrastructure.
What You'll Own
Reference designs: Standard cluster designs for current and next-generation NVIDIA platforms.
Customer designs: Configurations, BOMs, and rack layouts built from each customer's workload, scale, and site.
Workload analysis: Analysis of customer training and inference workloads to set design tradeoffs across latency, bandwidth, and GPU density.
Power-constrained design: Designs that fit fixed site power budgets, maximizing GPU density while reserving headroom for storage, networking, and services.
Quote and BOM review: Technical review of vendor quotes and BOMs.
Acceptance criteria: Burn-in, performance, and acceptance tests that define when a cluster is ready for service.
Site fit: Power, cooling, and floor requirements, validated against each candidate data center.
What We're Looking For
Delivered clusters: You have designed and delivered GPU clusters of 1,000+ GPUs.
Platform depth: Detailed knowledge of NVIDIA HGX and NVL72 systems and SuperPOD reference architectures.
Full stack: Working knowledge of InfiniBand and Spectrum-X fabrics, parallel storage (VAST, WEKA, DDN), and Slurm or Kubernetes cluster stacks.
Facilities: You understand rack power, liquid cooling, and how facility constraints shape a design.
Strong Candidates May Have
Validation: Experience with NCCL, HPL, and MLPerf benchmarking and cluster acceptance.
Rack-scale systems: Delivered GB200 or GB300 NVL72 deployments.
Certifications: NVIDIA-certified architect or equivalent.
Why You'll Love It Here
Define the reference designs our clusters are built on
Work across many sites, vendors, and platforms rather than one fleet
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.