Solutions Engineer

Emploi pas sur LinkedIn

🕒 il y a 3 mois

🏄 California – Distant

🏄 California – Remote

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

💻 Ingénieur Solutions

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

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Andromeda

Site WebLinkedInTous les Emplois

11 - 50 employés

🤖 Intelligence artificielle

🤝 B2B

🔧 Matériel

🔥 Financement dans la dernière année

💰 €15 142 238 Series A - Andromeda Robotics en 2025-09

Artificial Intelligence • B2B • Hardware

Andromeda est un service de calcul GPU et une place de marché offrant un accès instantané à de grands clusters d'accélérateurs H100, H200 et B200 pour des expériences, des formations à grande échelle et des inférences. Il prend en charge l'orchestration avec Slurm, Kubernetes ou SSH direct, propose une utilisation flexible sans durée minimum et des tarifs compétitifs, inclut une expertise en DevOps, un stockage NAS local ou en streaming sans frais d'entrée/sortie, et un support 24/7 avec des SLA standards de l'industrie. L'entreprise exploite également une place de marché tierce de GPU sur gpulist. ai.

Description

• Partner with Sales to qualify opportunities, lead technical discovery, and shape evaluation plans tied to customer success criteria. • Design and deliver compelling demos of our full stack—tailoring messaging for both technical and executive audiences. • Own the technical POC process: define scope, success metrics, architecture, timeline, and stakeholder alignment; ensure clean handoffs into production. • Build strong relationships with customer stakeholders, including engineering leaders, platform teams, and security/infra owners. • Translate technical requirements into solution designs that map directly to business outcomes (latency, throughput, cost, reliability, security). • Produce high-quality enablement assets (demo environments, evaluation playbooks, reference architectures, FAQs) to scale the team’s effectiveness. • Provide high-signal feedback to Product/Engineering/Research based on recurring objections, feature gaps, and competitive dynamics.

🎯 Exigences

• 5+ years in a customer-facing technical role, including 2+ years in a pre-sales function (Sales Engineer, Solutions Architect, etc). • Proven ability to run technical evaluations end-to-end and influence outcomes in complex sales cycles. • Excellent communication skills: can explain infrastructure and AI concepts clearly to both technical and non-technical audiences. • Strong knowledge of AI/ML infrastructure and GPU-based systems, including how they integrate into HPC environments. • Strong understanding of training, fine-tuning, and inference for open-source LLMs. • Proficiency in Python and JavaScript, with experience building prototypes on API platforms. • Familiarity with Kubernetes, SLURM, Docker/containers, and infrastructure automation/IaC (e.g., Ansible). • High ownership, comfort in ambiguity, and strong prioritization across multiple deals and customer threads.

🏖️ Avantages

• Front-row seat to the AI wave: support customers building and deploying frontier-scale systems. • Direct impact on revenue: you’ll be core to how we win and expand strategic accounts. • Build the SE motion: help define the playbooks, artifacts, and technical sales approach as we scale.