Forward Deployed Engineer, Physical AI Infrastructure

Nebius is hiring a Forward Deployed Engineer to work alongside Physical AI customers, shape our core infrastructure products, and test ideas for what we should build next. You will work with enterprises, ISVs, and digital-native companies running training, simulation, synthetic data, evaluation, and model serving workloads. By understanding their systems and helping them reach production, you will uncover requirements that inform our Cloud, Serverless, and Token Factory teams. The goal is to connect needs across Physical AI industries with product decisions, including improvements that benefit enterprise customers more broadly. You will also investigate opportunities for new Nebius products.

What you'll do:

• Work with customer engineers to understand their workloads, infrastructure constraints, and production requirements.
• Translate Physical AI use cases into requirements that Cloud, Serverless, and Token Factory teams can use, backed by measurements and customer evidence.
• Identify enterprise adoption barriers and common needs across industries. Work with Product and Engineering to assess gaps and test improvements with customers.
• Build agents that set up, run, and debug Physical AI workloads, connecting them to clusters, schedulers, storage, and model servers.
• Deploy and benchmark open-weight models with serving stacks such as vLLM or SGLang, then tune them for customer workloads.
• Build prototypes and run technical evaluations to answer specific questions about performance, reliability, and product fit.

Full details and application on the official Nebius careers page.