Solutions Architect

Job not on LinkedIn

🔥 14 minutes ago

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

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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

• Win the technical evaluation: Partner with Sales to qualify opportunities, lead technical discovery, and scope evaluations against the customer's real success criteria — not a generic checklist. • Design cluster and workload architectures that map to business outcomes: time-to-first-token, tokens/sec, MFU, cost per training run, reliability targets. • Own POCs end-to-end — scope, benchmarks, success metrics, timeline, stakeholder alignment. • Land it and grow it: Take customers from signature to first successful production training run: provisioning, environment setup, validation benchmarks, and the unglamorous debugging in between. • Serve as the named technical owner for your accounts after launch. You’re responsible for architecture reviews, capacity planning, performance and cost optimization, and technical workload reviews. • Spot expansion before the customer asks: where they're capacity-constrained, what's coming on their roadmap, and what it will take to serve it. • Build the function: Create the assets the SA team runs on: demo environments, benchmarking harnesses, reference architectures, onboarding runbooks, evaluation playbooks, and competitive material. • Be the highest-signal feedback loop into Product, Engineering, and Research — recurring gaps, competitive losses, and what customers actually ask for once they're in production.

🎯 Requirements

• 5+ years in customer-facing technical roles, including 2+ years in pre-sales (Solutions Engineer, Sales Engineer, Solutions Architect, or specialist SA) • Direct experience selling or supporting GPU compute at a neocloud or GPU provider, or as an AI/HPC specialist at a hyperscaler or NVIDIA • Demonstrated ability to take a customer from evaluation into production and stay accountable for the outcome • Real fluency in large-scale training and inference: distributed training frameworks, multi-node topologies, InfiniBand/RoCE, storage and checkpointing, and where these break at scale • Comfort with Kubernetes and SLURM as scheduling environments customers actually run in • Enough Python to build a benchmark, a prototype, or an API integration yourself rather than waiting on engineering • A track record of owning technical evaluations in complex, multi-stakeholder deals and changing the outcome • Exceptional communication, able to hold a deep conversation with a distributed systems engineer and a CFO

🏖️ Benefits

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