
11 - 50 employees
🏥 Healthcare
đź’Ľ Consulting
🏨 Hospitality
đź’° $15.1M Series A - Andromeda Robotics on 2025-09
Healthcare • Consulting • Hospitality
Andromeda is a GPU compute service and marketplace offering instant access to large clusters of H100, H200, and B200 accelerators for experiments, full-scale training, and inference. It supports orchestration with Slurm, Kubernetes, or direct SSH, provides flexible, no-minimum-duration usage and competitive pricing, and includes DevOps expertise, local NAS or streamed storage with no ingress/egress fees, and 24/7 support with industry SLAs. The company also operates a third-party GPU marketplace at gpulist. ai.
🔥 1 minute ago
🏄 California – Remote
⏰ Full Time
🟡 Mid-level
đźź Senior
🏛️ Architect
🦅 H1B Visa Sponsor
đź‘» Ghost score 13%
Where this job comes from
Posted on Andromeda's careers page, not through a job board
First seen by Remote Rocketship 1 minute ago

11 - 50 employees
🏥 Healthcare
đź’Ľ Consulting
🏨 Hospitality
đź’° $15.1M Series A - Andromeda Robotics on 2025-09
Healthcare • Consulting • Hospitality
Andromeda is a GPU compute service and marketplace offering instant access to large clusters of H100, H200, and B200 accelerators for experiments, full-scale training, and inference. It supports orchestration with Slurm, Kubernetes, or direct SSH, provides flexible, no-minimum-duration usage and competitive pricing, and includes DevOps expertise, local NAS or streamed storage with no ingress/egress fees, and 24/7 support with industry SLAs. The company also operates a third-party GPU marketplace at gpulist. ai.
• Design, deploy, and operate large-scale GPU clusters for AI labs and compute providers • Own reference designs for current and next-generation NVIDIA platforms • Turn customer requirements into complete cluster designs across compute, fabric, storage, management, power, and cooling interfaces • Act as technical authority on every build • Create customer configurations, bills of materials, and rack layouts based on workload, scale, and site • Analyze training and inference workloads to determine tradeoffs across latency, bandwidth, and GPU density • Design within fixed site power budgets while maximizing GPU density and reserving headroom for storage, networking, and services • Technically review vendor quotes and bills of materials • Define burn-in, performance, and acceptance tests for cluster readiness • Validate power, cooling, and floor requirements against candidate data centers • Work across multiple sites, vendors, and platforms
• Designed and delivered GPU clusters of 1,000+ GPUs • Detailed knowledge of NVIDIA HGX and NVL72 systems and SuperPOD reference architectures • Working knowledge of InfiniBand and Spectrum-X fabrics • Working knowledge of parallel storage systems including VAST, WEKA, and DDN • Working knowledge of Slurm or Kubernetes cluster stacks • Understanding of rack power and liquid cooling • Understanding of how facility constraints shape a design • Experience with NCCL, HPL, and MLPerf benchmarking and cluster acceptance • Experience delivering GB200 or GB300 NVL72 deployments • NVIDIA-certified architect or equivalent certification
• Comprehensive benefits for you and your dependents • Healthcare coverage • Dental coverage • Vision coverage • 401(k) • Unlimited PTO • Equal opportunity and inclusive work environment
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