Solutions Architect

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🕒 4 dias atrás

🏄 California – Remoto

🏄 California – Remote

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

💻 Engenheiro de Soluções

🦅 Patrocina Visto H1B

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Andromeda

SiteLinkedInTodas as Vagas

11 - 50 funcionários

🏥 Saúde

💼 Consultoria

🏨 Hospitalidade

🔥 Investimento no último ano

💰 $15.142.238 Series A - Andromeda Robotics em 2025-09

Healthcare • Consulting • Hospitality

A Andromeda é um serviço de computação com GPU e um marketplace que oferece acesso instantâneo a grandes clusters de aceleradores H100, H200 e B200 para experimentos, treinamentos em larga escala e inferência. Suporta orquestração com Slurm, Kubernetes ou SSH direto, oferece uso flexível sem duração mínima e preços competitivos, inclui expertise em DevOps, armazenamento local NAS ou transmitido sem taxas de entrada/saída, e suporte 24/7 com SLAs do setor. A empresa também opera um marketplace de GPUs de terceiros em gpulist. ai.

Descrição

• 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.

🎯 Requisitos

• 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

🏖️ Benefícios

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