Forward Deployed Engineer – Physical AI Cloud Platform

Nebius Group

Forward Deployed Engineer developing reliable and scalable AI cloud infrastructure solutions. Collaborating with strategic customers on deployment, optimization, and architecture.

Posted 7/6/2026full-timeRemote • California, Texas • 🇺🇸 United StatesMid-LevelSenior💰 $179,500 - $224,300 per yearWebsite

Tech Stack

Tools & technologies

CloudDistributed SystemsGoKubernetesPython

About the role

Key responsibilities & impact

End-to-End Ownership Inside Strategic Accounts: Own discovery, technical scoping, infrastructure design, build, and production rollout for each design partner and ISV engagement.
Cloud Infrastructure & Compute Orchestration: Build and operate cloud infrastructure that powers customer physical AI workflows.
Platform Services: Build platform services for job execution, scheduling, retries, observability, logging, secrets, access control, and cost tracking.
Customer Onboarding Infrastructure: Build onboarding infrastructure for pilots including sandbox environments and secure execution.
Reliability, Security & Cost: Optimize cloud cost, utilization, performance, and reliability across workloads.
Cross-FDE Partnership: Partner with Physical AI Systems FDE to support heavy simulation pipelines.
Long-Term Architecture: Define the long-term infrastructure architecture for multi-tenant SaaS and high-throughput physical AI workloads.
Pattern Codification & Productization: Turn customer infrastructure pain into reusable platform capabilities.
Rapid Engineering Velocity: Use modern AI coding tools to compress build timelines.
Field Enablement & Feedback Loops: Co-author reference architectures, solution templates, and technical blogs for broader field support.

Requirements

What you’ll need

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.
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: Navigate ambiguity without waiting for permission, with a bias toward simple, composable infrastructure that serves real customer workflows.
Communication: Strong written and verbal communication for technical discussions.

Benefits

Comp & perks

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.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Cloud InfrastructureBackend ProgrammingDistributed SystemsJob OrchestrationSystems ProgrammingAI Coding ToolsCloud-Native ToolchainGPU WorkloadsCross-Layer DebuggingInfrastructure as Code

Soft Skills

Strong CommunicationHigh Agency