HPC Architect

Job not on LinkedIn

🔥 34 minutes ago

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🏛️ Architect

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Andromeda

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏥 Healthcare

💼 Consulting

🏨 Hospitality

🔥 Funding within the last year

💰 $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.

📋 Description

• Vet prospective compute providers: assess cluster architecture, GPU hardware, network fabric, storage, and orchestration against Andromeda's quality metrics, and make the call on whether a cluster qualifies. • Define the qualification bar itself. Build the acceptance test suite, benchmark methodology, and quality thresholds from scratch, formalizing what currently exists only as SRE tribal knowledge. Own and evolve these standards as the fleet and the market change. • Run validation hands-on where it matters: burn-in testing, fabric validation (InfiniBand/RoCE), NCCL and application-level benchmarks, storage performance testing. For routine or repeat validation, define the methodology and review results rather than executing everything yourself. • Guide providers through technical onboarding: work directly with their data-center and platform engineers to remediate gaps, tune configurations, and bring clusters up to the bar on a predictable path. • Partner with compute procurement to identify and qualify new providers. Perform technical due diligence during sourcing, and a clear read on how much remediation a candidate cluster needs before procurement commits. • Build and maintain technical relationships with existing providers: you're the engineer their engineers call, and the one who spots architectural or quality drift before it becomes a customer problem. • Feed what you learn back into provider-facing standards and internal documentation, so each qualification is faster and more consistent than the last.

🎯 Requirements

• Deep HPC experience: you've designed, built, or operated GPU clusters at meaningful scale and understand what makes them fast, stable, and debuggable. • Strong fabric knowledge, ideally both InfiniBand and RoCE. You can evaluate a topology, interpret fabric diagnostics, and identify why a fabric underperforms, not just that it does. • Experience with distributed orchestration and the HPC software stack: Slurm, Kubernetes, OpenMPI or equivalent, and the Linux systems engineering underneath all of it. • Data-center literacy: power, cooling, cabling, and physical-layer realities. You can walk a provider's facility and know what questions to ask. • Benchmarking judgment. You know which numbers matter for large-scale training workloads, how providers game them, and how to design tests that can't be gamed. • The ability to write standards others can build against: precise, testable, and usable by a provider's engineering team without you in the room. • Credibility in the room with external engineering teams, including the ability to deliver a failing grade to a provider who wants your business, and keep the relationship intact. • Comfort with ambiguity. The qualification framework you'll apply mostly doesn't exist yet; you'll write it.

🏖️ Benefits

• Comprehensive benefits: for you and your dependents, including healthcare, dental, and vision coverage • 401(k) • Unlimited PTO