Customer-Facing Physical AI Infrastructure Engineer

Fdetimes; Amsterdam; On-site; EUR 160,000 - 200,000; Full time

Benefits offered by this job

Competitive compensation

Career growth and learning

Flexibility and ownership

Collaborative and innovative culture

Opportunity to work on impactful AI

Job summary

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, 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.

Qualifications

• Three or more years in software engineering, cloud infrastructure, DevOps, ML infrastructure, or similar.
• Experience working directly with customers or external engineers to scope problems, run evaluations, and explain technical tradeoffs.
• Strong Python and Linux skills; able to read unfamiliar code, automate a setup, and debug from logs and metrics.
• Practical experience with containers and Kubernetes in production environments.

Responsibilities

• Understand workloads and production requirements with customer engineers.
• Translate Physical AI use cases into requirements for Cloud, Serverless, and Token Factory teams, backed by measurements and customer evidence.
• Identify enterprise adoption barriers and common needs across industries; 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 (e.g., vLLM, SGLang) and tune for customer workloads.
• Build prototypes and run technical evaluations to answer questions about performance, reliability, and product fit.
• Assess demand and opportunities outside current product teams’ scope and build where there is a clear market.
• Debug across Python, agents, model servers, Kubernetes, GPUs, networking, and storage.

Skills

Software engineering

Cloud infrastructure

DevOps

ML infrastructure

Customer interaction

Tools

Kubernetes

Python

Linux

Containers

Terraform

CI/CD

Job description

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, 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.