Andromeda Cluster Architect at Andromeda owns reference and customer cluster designs for large-scale GPU deployments. The role analyzes workloads and manages design tradeoffs across compute, fabric, storage, and power.
Responsibilities
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.
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.
Qualification
Delivered clustersPlatform depthFull stackFacilitiesStrong Candidates May HaveValidationRack-scale systemsCertificationsWhy You'll Love It HereWork across many sitesHigh talent density
Required
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
