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Forward Deployed Engineer - Physical AI

Job in Columbus, Franklin County, Ohio, 43224, USA
Listing for: Nebius
Full Time position
Listed on 2026-09-25
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, IT Infrastructure
Salary/Wage Range or Industry Benchmark: 150000 - 210000 USD Yearly USD 150000.00 210000.00 YEAR
Job Description & How to Apply Below

About Nebius:

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R

D.

The role

The Forward Deployed Engineer, Cloud Platform is a senior, high-autonomy individual contributor role that owns the infrastructure foundation making the physical AI platform fast, reliable, scalable, secure, and cost-effective. This role sits with strategic customers and ISV partners, embedded directly inside their engineering teams, and ships production infrastructure that lets customers run real physical AI workloads, not just demos. Your job is to make the platform feel like a product, not a collection of cloud scripts.

Remote work

You are welcome to work remotely from the United States (SF Bay Area, CA or Austin, TX preferred).

Your responsibilities will include:
  • End-to-End Ownership Inside Strategic Accounts:
    Own discovery, technical scoping, infrastructure design, build, and production rollout for each design partner and ISV engagement, translating ambiguous infrastructure problems into deployable production systems.
  • Cloud Infrastructure Compute Orchestration:
    Build andoperatethe cloud infrastructure that powers customer physical AI workflows. Own compute orchestration for simulation, training, evaluation, inference, and batch workloads, not just what runs, but how it runs at scale.
  • Platform Services:
    Build platform services for job execution, scheduling, retries, observability, logging, secrets, access control, and cost tracking. Integrate Nebiuscloud services into the productexperienceso infrastructure complexity is abstracted away from customers.
  • Customer Onboarding Infrastructure:
    Build onboarding infrastructure for pilots, including sandbox environments, dataset storage, workflow execution, and deployment, and make sure early customer workloads run for real: secure, isol
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