Solutions Engineer

Job not on LinkedIn

🕒 February 27

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

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Andromeda

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

🤝 B2B

🔧 Hardware

🔥 Funding within the last year

💰 $15.1M Series A - Andromeda Robotics on 2025-09

Artificial Intelligence • B2B • Hardware

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

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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.