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Forward Deployed Engineer - Physical AI Cloud Platform
PythonGoKubernetesInfrastructure as CodeHPCApache AirflowCUDAAWSGCPAzureDistributed Systems
About the role
Nebius is seeking a Forward Deployed Engineer for the Physical AI Cloud Platform. This senior, high-autonomy role involves working directly with strategic customers, owning end-to-end infrastructure from discovery to production rollout. Responsibilities include building cloud infrastructure for physical AI workloads, compute orchestration, platform services, and customer onboarding. Requires 6+ years of hands-on engineering, strong Python/Go, Kubernetes, distributed systems, and fluency in AI‐-
Requirements
6+ years of hands-on engineering with strong backend, cloud infrastructure, or platform engineering experience. Requires distributed systems, job orchestration, compute platforms. Strong Python, Go, or similar systems programming. Fluency in AI coding tools (Claude Code, Codex, Cursor). Experience with Kubernetes, containers, CI/CD, observability, cloud networking, storage, IAM/RBAC, and infrastructure as code. Familiarity with GPU workloads, HPC, and cross-layer debugging. Strong security and r
About the company
Nebius
Nebius is an AI cloud provider specializing in building and scaling AI solutions from silicon to API. They offer custom hardware with non-virtualized GPUs and InfiniBand, MLOps tooling, and flexible consumption options for various workloads, from training to inference. Their value proposition is faster time to AI value with raw power and elasticity, supported by expert services.
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