Forward Deployed Engineer - Physical AI Cloud Platform
AI summary of the role
Senior individual contributor embedded with strategic customers and ISV partners to own the infrastructure foundation of Nebius's physical AI cloud platform.
What you’ll do
- Own end-to-end technical execution inside strategic accounts: discovery, scoping, infrastructure design, build, and production rollout.
- Build and operate cloud infrastructure and compute orchestration for simulation, training, evaluation, inference, and batch workloads at scale.
- Develop platform services for job execution, scheduling, retries, observability, logging, secrets, access control, and cost tracking.
- Create onboarding infrastructure for pilots including sandboxes, dataset storage, and workflow execution, ensuring secure and reliable early workloads.
What you’ll bring
- 6+ years of hands-on backend, cloud infrastructure, platform engineering, or SRE experience, with at least 2 years in a customer-facing or deployment-oriented technical role.
- Experience building distributed systems, job orchestration, compute platforms, internal developer platforms, or ML infrastructure.
- Strong systems programming in Python, Go, or similar.
- Fluency with modern AI coding tools (Claude Code, Codex, Cursor) as primary leverage.
Technologies
Kubernetes · Python · Go · Claude Code · Codex · Cursor · Slurm · Ray · Argo · Airflow · Metaflow · NVIDIA GPU
About Nebius
Full-stack AI cloud infrastructure platform delivering GPU compute and software to hyperscalers and enterprises without requiring in-house AI/ML teams.
Public · 1000–2000 people
Source and classification
Production engineering · Evidence for this classification:
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
More from the job description
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 [... source excerpt omitted ...] . 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 w [... source excerpt omitted ...] bservability, 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 fail
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