Forward Deployed Engineer - Physical AI Cloud Platform

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.

You will work alongside the Field CTO and the Head of Physical AI, and partner

closely with the Physical AI Systems and Platform & Product FDEs. Inside each

account, you own end-to-end technical execution: discovery, scoping,

infrastructure design, build, and production rollout. Across accounts, you turn

repeated infrastructure pain into reusable platform capabilities and partner

with Product and Engineering to fold them into the core platform. Your field

work is the primary input to the Nebius Physical AI roadmap.

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 and operate the 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 Nebius cloud services into the product experience so 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,

isolated, observable, and reliable.

* Reliability, Security & Cost: Optimize cloud cost, utilization, performance,

and reliability across workloads, and debug infrastructure issues across

application, network, storage, compute, and orchestration layers, wherever

the failure actually lives.

* Cross-FDE Partnership: Partner with the Physical AI Systems FDE to support

GPU-heavy simulation, training, and evaluation pipelines, and with the

Platform & Product FDE to expose infrastructure capabilities through clean

APIs, SDKs, and product workflows.

* Long-Term Architecture: Help define the long-term infrastructure architecture

for multi-tenant SaaS, enterprise deployments, and high-throughput physical

AI workloads.

* Pattern Codification & Productization: Turn repeated customer infrastructure

pain into reusable platform capabilities. Partner with the Field CTO,

Product, and Engineering teams to fold these into the core platform. Treat

every engagement as a forcing function for the next ten.

* Rapid Engineering Velocity: Use modern AI coding tools (Claude Code, Codex,

Cursor) as primary leverage. Compress build timelines from weeks to days.

Treat engineering velocity as a primary success metric.

* Field Enablement & Feedback Loops: Co-author reference architectures,

solution templates, and technical blogs for the broader Nebius field,

and maintain structured channels to ensure customer learnings flow back to

the Field CTO, Product, and Engineering teams.

We expect you to have:

* 6+ Years of Hands-On Engineering: Strong backend, cloud infrastructure,

platform engineering, or SRE experience, with at least two years in a

customer-facing or deployment-oriented technical role (Forward Deployed

Engineer, founding engineer, technical co-founder, tech lead embedded with

strategic customers, or equivalent).

* Distributed Systems & Compute Platforms: Experience building distributed

systems, job orchestration, compute platforms, internal developer platforms,

or ML infrastructure.

* Strong Systems Programming: Strong Python, Go, or similar systems and backend

programming skills.

* AI-Native Development Workflow: Fluency in modern AI coding tools (Claude

Code, Codex, Cursor) as primary leverage to rapidly design, implement, test,

debug, and refactor production-quality software.

* Cloud-Native Toolchain: Experience with Kubernetes, containers, CI/CD,

observability, cloud networking, storage, IAM/RBAC, and infrastructure

as code.

* GPU & HPC Workloads: Familiarity with GPU workloads, batch jobs, training

pipelines, inference workloads, or HPC-style compute environments.

* Cross-Layer Debugging: Proven ability to debug infrastructure issues across

application, network, storage, compute, and orchestration layers.

* Security & Reliability Instincts: Strong instincts for isolation, RBAC,

uptime, and traceability on workloads that touch customers.

* High Agency: You navigate ambiguity without waiting for permission, with a

bias toward simple, composable infrastructure that serves real customer

workflows over scheduling another meeting.

* Communication: Strong written and verbal communication. You can hold your own

in a technical conversation with a customer CTO and debrief a design partner

engagement to the Head of Physical AI.

It would be an added bonus if you have:

* Prior experience as a Forward Deployed Engineer or an equivalent

customer-embedded engineering function at a frontier company.

* Experience with Nebius, AWS, GCP, Azure, Lambda Labs, or other AI cloud

infrastructure.

* Experience with Slurm, Soperator, Kubernetes GPU scheduling, Ray, Argo,

Airflow, Metaflow, or similar orchestration tools.

* Experience with ML training infrastructure, model serving, simulation

workloads, or large-scale data pipelines.

* Experience supporting enterprise customers, design partners, or production

pilots.

* Familiarity with NVIDIA GPU infrastructure, CUDA workloads, Isaac Sim,

Omniverse, or simulation-at-scale.

Key Employee

Benefits

* Health Insurance: 100% company-paid medical, dental, and vision coverage for

employees and families.

* 401(k) Plan: Up to 4% company match with immediate vesting.

* Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary

caregivers.

* Remote Work Reimbursement: Up to $85/month for mobile and internet.

* Disability & Life Insurance: Company-paid short-term, long-term, and life

insurance coverage.

Pay Transparency

We offer competitive compensation and benefits packages. Actual compensation

will be determined based on job-related factors, including experience, skills,

qualifications, the level at which the candidate is hired, and geographic

location, consistent with applicable law.

Base Compensation Range

$179,500—$224,300 USD

Benefits

& Perks:

* 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

What's it like to work at Nebius:

Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and

real ownership - Opportunity to shape the future of AI

Equal Opportunity Statement:

Nebius is an equal opportunity employer. We are committed to fostering an

inclusive and diverse workplace and to providing equal employment opportunities

in all aspects of employment. We do not discriminate on the basis of race,

color, religion, sex (including pregnancy), national origin, ancestry, age,

disability, genetic information, marital status, veteran status, sexual

orientation, gender identity or expression, or any other characteristic

protected by applicable law.

Applicants must be authorized to work in the country in which they apply and

will be required to provide proof of employment eligibility as a condition of

hire.

If you need accommodations during the application process, please let us know.