Forward Deployed Engineer – Physical AI Cloud Platform

Job not on LinkedIn

🔥 13 hours ago

🏄 California, Texas – Remote

🏄 California – Remote 🤠 Texas – Remote

💵 $179.5k - $224.3k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

☁️ Cloud Engineer

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Nebius Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏢 Enterprise

☁️ SaaS

AI • Enterprise • SaaS

Nebius Group is building one of the world’s leading AI infrastructure companies, focusing on providing the necessary compute, storage, and tools for developers in the AI space. Based in Europe and listed on Nasdaq, Nebius has a global presence with R&D centers across Europe, North America, and Israel. The company's primary offering is an AI-centric cloud platform designed for intensive AI workloads, complemented by various other businesses involved in generative AI development, edtech, and autonomous technology.

📋 Description

• 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

• 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

• 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.