Forward-Deployed AI Infrastructure Engineer

Nebius Group; United States; Remote; USD 140,000 - 200,000; Full time

Benefits offered by this job

Competitive compensation

Career growth and learning

Flexibility and ownership

Collaborative and innovative culture

Impactful AI projects

Job summary

Nebius is a forward-looking cloud company building an AI-first platform. We are hiring a Forward Deployed Engineer to work with Physical AI customers, shape core infrastructure, and test ideas for new Nebius products.

You will collaborate with enterprises, ISVs, and digital-native companies on training, simulation, synthetic data, evaluation, and model serving workloads. The role is hands-on, requiring code, deployment, benchmarking, and troubleshooting alongside customer engineers.

Qualifications

• Three or more years in software engineering, cloud infrastructure, DevOps, ML infrastructure, or similar, including ownership of a production service, cluster, or platform.
• Experience working directly with customers or external engineers to scope problems, run evaluations, and explain technical tradeoffs.
• Ability to translate unfamiliar customer problems into concrete infrastructure requirements.
• Practical experience building with LLMs or agents and understanding their internals.
• Familiarity with enterprise infrastructure requirements including IAM, network isolation, security, monitoring, and reliability.
• Strong Python and Linux skills; able to automate setups and debug from logs.
• Experience with containers and Kubernetes, including configuration, networking, storage, and scheduling.

Responsibilities

• Work with customer engineers to understand workloads, constraints, and production requirements.
• Translate Physical AI use cases into requirements for Cloud, Serverless, and Token Factory teams.
• Identify adoption barriers and gaps; test improvements with customers.
• Build agents that set up and run Physical AI workloads, connecting to clusters and model servers.
• Deploy and benchmark open-weight models with serving stacks; tune for workloads.
• Build prototypes and run evaluations to assess performance, reliability, and product fit.
• Assess demand and opportunities outside current product scope and build where there is a market.
• Debug across Python, agents, model servers, Kubernetes, GPUs, networking, and storage; create reusable scripts and guides.

Skills

Software engineering

Cloud infrastructure

DevOps

ML infrastructure

Production ownership

Tools

Kubernetes

Terraform

CI/CD

Ray

Slurm

Spark

Job description

Nebius is a forward-looking cloud company building an AI-first platform. We are hiring a Forward Deployed Engineer to work with Physical AI customers, shape core infrastructure, and test ideas for new Nebius products.

You will collaborate with enterprises, ISVs, and digital-native companies on training, simulation, synthetic data, evaluation, and model serving workloads. The role is hands-on, requiring code, deployment, benchmarking, and troubleshooting alongside customer engineers.