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# Software Engineer II (IC4) - AI Workload Orchestration

- **Company:** Coreweave, Inc.
- **Location:** Sunnyvale, United States
- **Experience:** Expert
- **Salary:** $182,000.0 - $242,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, C++ (Programming Language), Cloud Computing, Distributed Systems, Python (Programming Language), Machine Learning, Software Engineering, AI Infrastructure, Delivery Pipeline, Reliability of Systems, Kubernetes, Information Technology, Slurm
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/senior-software-engineer-ii-ic4-ai-workload-orchestration-coreweave-2-8591226

## About the Role

* 5-8 years of professional software engineering experience in distributed systems, cloud infrastructure, or platform engineering
 * Strong experience building production systems in Go (Python or C++ a plus)
 * Solid understanding of Kubernetes fundamentals, APIs, controllers, and operating services in production
 * Experience working with scheduling, resource management, or quota-based systems
 * Proven ability to improve system reliability and performance using data and operational metrics
 * Comfortable owning services in production and participating in on-call rotations
 * Bachelor's Degree in Computer Science, Engineering or related technical field., * Experience with Kubernetes-native orchestration frameworks such as Kueue, Volcano, Ray, Kubeflow, or Argo Workflows
 * Familiarity with GPU-based workloads, ML training, or inference pipelines
 * Knowledge of scheduling concepts such as quota enforcement, pre-emption, and backfilling
 * Experience with reliability practices including SLOs, alerting, and incident response
 * Exposure to AI infrastructure, HPC, or large-scale distributed compute environments

## Description

As a Senior Software Engineer II (IC4) on the AI Workload Orchestration Platform team, you will help build and operate CoreWeave's Kubernetes-native platform for admitting, scheduling, and operating AI workloads at scale.

This platform integrates multiple orchestration and scheduling frameworks such as Kueue, Volcano, and Ray to support modern AI training and inference workflows. It complements SUNK (Slurm on Kubernetes) by providing a Kubernetes-first, cloud-native orchestration layer with deep platform integration.

You will own meaningful components of the platform, drive reliability and performance improvements, and help scale the system as customer demand and workload complexity continue to grow.

What You'll Do

 * Design, build, and operate Kubernetes-native services for AI workload orchestration and scheduling
 * Own one or more platform components end-to-end, including design, implementation, testing, and on-call support
 * Improve scheduling latency, cluster utilization, and workload reliability through metrics-driven engineering
 * Contribute to architectural discussions across services and influence design decisions within the platform
 * Work closely with adjacent teams (CKS, infrastructure, managed inference) to ensure clean interfaces and integrations
 * Mentor junior engineers and raise the quality bar for code, design, and operations


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