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Forward Deployed Engineer, Physical AI Infrastructure

Nebius· Robotics & AI
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Remote$179.5k - $224.3kFull-timePosted 3mo ago

About the role

Forward Deployed Engineer to work with Physical AI customers, shape core infrastructure products, and test new ideas. Role involves working with enterprises and other stakeholders to translate use cases into requirements, build prototypes, deploy and benchmark models, and provide hands-on troubleshooting across infrastructure and model serving stacks.

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 backed by measurements and customer evidence.
  • Identify adoption barriers and common needs; test improvements with customers alongside Product and Engineering.
  • Build agents to set up, run, and debug Physical AI workloads connecting 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 conduct technical evaluations addressing performance, reliability, and product fit.
  • Assess demand and alternatives for opportunities outside current product scope and build where there is market demand.
  • Debug across Python, agents, model servers, Kubernetes, GPUs, networking, and storage; create reusable scripts and short guides.

Qualifications

  • Three or more years in software engineering, cloud infrastructure, DevOps, ML infrastructure, or similar with 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 convert unfamiliar customer problems into concrete infrastructure requirements.
  • Practical experience building with LLMs or agents, understanding internals and evaluation of outputs.
  • Familiarity with enterprise infrastructure requirements (IAM, network isolation, security, monitoring, reliability).
  • Strong Python and Linux skills for reading code, automating setups, and debugging from logs/metrics.
  • Practical experience with containers and Kubernetes (configuration, networking, storage, scheduling).
  • Proven track record of delivering usable software with incomplete requirements, measuring results, and following through with users.

Skills

Required:PythonLinuxContainers and KubernetesLLMs / agents

Benefits

  • Competitive compensation
  • Career growth and learning opportunities
  • Flexibility and ownership
  • Collaborative and innovative culture
  • Opportunity to work on impactful AI projects
  • International environment and talented teams
Last updated Oct 7, 2026. Interested? Apply on the company site.
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About Nebius

The ultimate cloud for AI explorers

Discover the most efficient way to build, tune and run your AI models and applications on top-notch NVIDIA® GPUs.

AI CloudToken FactoryGPUKubernetesSlurmManaged servicesTerraformAPI
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