Lead AI Infrastructure Orchestration Architect

CoreWeave; Seattle (WA); On-site; USD 210,000 - 320,000; Full time

Job summary

CoreWeave seeks a veteran Principal Engineer to define long-term architecture for orchestration platforms, balancing performance, reliability, and cost. You will lead Kubernetes-native control planes, orchestrate workload admission and rollout, and drive multi-tenant GPU isolation strategies.

You will mentor senior engineers, influence across infrastructure and product teams, and engage with customers and open-source communities on deep technical topics as needed.

Qualifications

• 15+ years of experience building and operating large-scale distributed systems.
• Deep, practical knowledge of Kubernetes and Slurm internals.
• Experience running GPU-heavy platforms for AI training, inference, or HPC workloads.
• Strong background in Go and cloud-native systems development.

Responsibilities

• Define the long-term architecture for CoreWeave's orchestration platforms across Kubernetes, Slurm, SUNK, Kueue, and related systems.
• Act as a technical authority on scheduling, quota enforcement, fairness, pre-emption, and multi-tenant GPU isolation.
• Make design decisions that balance performance, reliability, cost, and operational complexity.
• Lead the evolution of Kubernetes-native control planes, including SUNK and custom operators.
• Design systems that support workload admission, validation, and rollout, including model onboarding flows.

Skills

Kubernetes

Slurm

Go

Distributed systems

Leadership

Architecture

Education

Bachelor's or Master's in CS/Engineering

Tools

Kueue

Kubeflow

Argo Workflows

Job description

CoreWeave seeks a veteran Principal Engineer to define long-term architecture for orchestration platforms, balancing performance, reliability, and cost. You will lead Kubernetes-native control planes, orchestrate workload admission and rollout, and drive multi-tenant GPU isolation strategies.

You will mentor senior engineers, influence across infrastructure and product teams, and engage with customers and open-source communities on deep technical topics as needed.