coreweave · Sunnyvale, CA / Bellevue, WA · Bellevue, WA · Sunnyvale, California, United States
<div class="content-intro"><div> <div> <div class="gmail_quote"> <div> <div><span id="m_1770241969069985273m_-2746164444908759431gmail-docs-internal-guid-131e4fb0-7fff-b4e9-ff50-e8cf32449b1b">CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at <a href="http://www.coreweave.com/" target="_blank" data-saferedirecturl="https://www.google.com/url?q=http://www.coreweave.com&source=gmail&ust=1762613132717000&usg=AOvVaw3D-UOhNaqEvF5BEWxjYyAU">www.coreweave.com</a>.</span></div> </div> </div> </div> </div></div><h2><strong>About the Role</strong></h2> <p>As a <strong>Senior Software Engineer II (IC4)</strong> on the <strong>AI Workload Orchestration Platform</strong> team, you will help build and operate CoreWeave’s Kubernetes-native platform for admitting, scheduling, and operating AI workloads at scale.</p> <p>This platform integrates multiple orchestration and scheduling frameworks such as <strong>Kueue, Volcano, and Ray</strong> to support modern AI training and inference workflows. It complements <strong>SUNK (Slurm on Kubernetes)</strong> by providing a Kubernetes-first, cloud-native orchestration layer with deep platform integration.</p> <p>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.</p> <h2><strong>What You’ll Do</strong></h2> <ul> <li>Design, build, and operate Kubernetes-native services for AI workload orchestration and scheduling<br><br></li> <li>Own one or more platform components end-to-end, including design, implementation, testing, and on-call support<br><br></li> <li>Improve scheduling latency, cluster utilization, and workload reliability through metrics-driven engineering<br><br></li> <li>Contribute to architectural discussions across services and influence design decisions within the platform<br><br></li> <li>Work closely with adjacent teams (CKS, infrastructure, managed inference) to ensure clean interfaces and integrations<br><br></li> <li>Mentor junior engineers and raise the quality bar for code, design, and operations<br><br></li> </ul> <h2><strong>Who You Are</strong></h2> <ul> <li>5–8 years of professional software engineering experience in distributed systems, cloud infrastructure, or platform engineering<br><br></li> <li>Strong experience building production systems in <strong>Go</strong> (Python or C++ a plus)<br><br></li> <li>Solid understanding of <strong>Kubernetes fundamentals</strong>, APIs, controllers, and operating services in production<br><br></li> <li>Experience working with scheduling, resource management, or quota-based systems<br><br></li> <li>Proven ability to improve system reliability and performance using data and operational metrics<br><br></li> <li>Comfortable owning services in production and participating in on-call rotations</li> <li>Bachelor’s Degree in Computer Science, Engineering or related technical field.<br><br></li> </ul> <h2><strong>Preferred Qualifications</strong></h2> <ul> <li>Experience with Kubernetes-native orchestration frameworks such as <strong>Kueue, Volcano, Ray, Kubeflow, or Argo Workflows</strong><strong><br><br></strong></li> <li>Familiarity with GPU-based workloads, ML training, or inference pipelines<br><br></li> <li>Knowledge of scheduling concepts such as <strong>quota enforcement, pre-emption, and backfilling</strong><strong><br><br></strong></li> <li>Experience with reliability practices including <strong>SLOs, alerting, and incident response</strong><strong><br><br></strong></li> <li>Exposure to AI infrastructure, HPC, or large-scale distributed compute environments</li> </ul> <p><em data-stringify-type="italic">The base salary range for this role is $182,000.00 - $242,000.00. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). </em></p><div class="content-conclusion"><p><strong>What We Offer</strong></p> <p>The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.</p> <p>In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offering