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Forward Deployed Engineer, EcosystemNebius · Remote - United States
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Nebius

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Forward Deployed Engineer, Ecosystem

🗓️ Posted 2026-09-01 Remote - United States Hybrid ICT
💰 Salary Not shared 📊 Market 10,000 EUR–18,000 EUR/mo

About the Company

Nebius is leading a new era in cloud infrastructure for the global AI economy, building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment. Built by engineers, for engineers, they own the hard problems across compute, storage, networking and applied AI, from large-scale GPU orchestration to inference optimization. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, Nebius has a global footprint with R&D hubs across Europe, the UK, North America and Israel, and a team of 1,500+ including hundreds of engineers with deep expertise across hardware, software and AI R&D.

About the Role

Nebius builds the infrastructure serious AI teams run on - GPU clusters, inference runtimes, agent development environments, data pipelines - all of it purpose-built for the most demanding AI workloads. They are now building the ecosystem function that ensures the best AI companies choose to build on them, integrate with them, and stay. As a Forward Deployed Engineer, Ecosystem, you will sit at the intersection of solution architecture and hands-on engineering, assessing how partner products actually work on their stack, defining the reference architecture for each integration, building the working prototype, and translating findings into product requirements that shape what Nebius ships next.

Responsibilities

  • ● Identify and qualify new partner integration opportunities that accelerate the adoption of Nebius AI services.
  • ● Scope and implement novel integrations that solve real customer problems on Nebius infrastructure.
  • ● Work with customers and partners to define requirements for Nebius product teams to deliver the best possible developer experience.
  • ● Communicate product and technical feedback to the engineering and product teams to help shape product direction.
  • ● Build compelling product demonstrations and prototypes for key use cases.
  • ● Author technical papers, guides, and blog posts.
  • ● Support customers, partners, and the sales team by solving their most challenging technical problems.

Requirements

  • ● Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.
  • ● 5+ years of experience in a solutions architecture, field engineering, or similar customer-facing technical role.
  • ● Demonstrated ability to write production-quality code in Python.
  • ● Proficiency with Kubernetes and cloud technologies.
  • ● Familiarity with distributed systems and large-scale data processing.
  • ● Experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, JAX) and their ecosystems.
  • ● Excellent communication, presentation, and interpersonal skills.
  • ● Ability to travel as needed to meet with customers and partners.