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YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_33821044-320"},"title":"Principal Engineer, Storage","description":"<p>We&#39;re looking for a Principal Engineer to play a key role in designing, building, and operating the data plane for our high-performance AI storage platform.</p>\n<p>You&#39;ll develop CoreWeave&#39;s storage systems by building reliable, scalable, and high-throughput solutions that power some of the largest and most innovative AI workloads in the world.</p>\n<p>This role involves close collaboration with teams across infrastructure, compute, and platform to ensure our storage services scale automatically and seamlessly while maximizing performance and reliability.</p>\n<p>About the role:</p>\n<ul>\n<li>Design and implement a highly scalable multi-tenant control plane that supports CoreWeave&#39;s growing AI storage and cloud infrastructure needs.</li>\n<li>Contribute to the development of exabyte-scale, S3-compatible object storage, distributed file system and integrate dedicated storage clusters into diverse customer environments.</li>\n<li>Work with technologies such as RDMA, GPU Direct Storage, RoCE, InfiniBand, SPDK, and distributed filesystems to optimize storage performance and efficiency.</li>\n<li>Participate in efforts to improve the reliability, durability, and observability of our storage stack.</li>\n<li>Collaborate with operations teams to monitor, analyze, and optimize storage systems using telemetry, metrics, and dashboards to improve performance, latency, and resilience.</li>\n<li>Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack.</li>\n<li>Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems, especially focusing on low level storage details that improve performance and durability.</li>\n</ul>\n<p>Who You Are:</p>\n<ul>\n<li>Bachelor’s, Master’s, or PHD degree in Computer Science, Engineering, or a related field.</li>\n<li>8–10+ years of experience working in storage systems engineering.</li>\n<li>Strong hands-on experience with object storage, block storage or distributed filesystems in production environments.</li>\n<li>Proficiency in a systems programming language such as Go, C, or Rust.</li>\n<li>Solid understanding of cloud-native infrastructure, Kubernetes, and scalable system architecture.</li>\n<li>Strong debugging and problem-solving skills in distributed, high-performance environments.</li>\n<li>Clear communicator, able to work collaboratively across teams and share technical insights effectively.</li>\n<li>Familiarity with the trade offs between HDD and SSD based storage systems.</li>\n</ul>\n<p>The base salary range for this role is $206,000 to $303,000.</p>\n<p>In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).</p>\n<p>What We Offer</p>\n<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>\n<p>In addition to a competitive salary, we offer a variety of benefits to support your needs, including:</p>\n<ul>\n<li>Medical, dental, and vision insurance</li>\n<li>100% paid for by CoreWeave</li>\n<li>Company-paid Life Insurance</li>\n<li>Voluntary supplemental life insurance</li>\n<li>Short and long-term disability insurance</li>\n<li>Flexible Spending Account</li>\n<li>Health Savings Account</li>\n<li>Tuition Reimbursement</li>\n<li>Ability to Participate in Employee Stock Purchase Program (ESPP)</li>\n<li>Mental Wellness Benefits through Spring Health</li>\n<li>Family-Forming support provided by Carrot</li>\n<li>Paid Parental Leave</li>\n<li>Flexible, full-service childcare support with Kinside</li>\n<li>401(k) with a generous employer match</li>\n<li>Flexible PTO</li>\n<li>Catered lunch each day in our office and data center locations</li>\n<li>A casual work environment</li>\n<li>A work culture focused on innovative disruption</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_33821044-320","directApply":true,"hiringOrganization":{"@type":"Organization","name":"CoreWeave","sameAs":"https://www.coreweave.com","logo":"https://logos.yubhub.co/coreweave.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/coreweave/jobs/4646276006","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$206,000 to $303,000","x-skills-required":["object storage","block storage","distributed filesystems","RDMA","GPU Direct Storage","RoCE","InfiniBand","SPDK","cloud-native infrastructure","Kubernetes","scalable system architecture","systems programming language","Go","C","Rust"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:51:53.363Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bellevue, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"object storage, block storage, distributed filesystems, RDMA, GPU Direct Storage, RoCE, InfiniBand, SPDK, cloud-native infrastructure, Kubernetes, scalable system architecture, systems programming language, Go, C, Rust","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":206000,"maxValue":303000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cdafe464-67b"},"title":"Software Engineer, Codex Cloud","description":"<p><strong>Software Engineer, Codex Cloud</strong></p>\n<p><strong>Location</strong></p>\n<p>San Francisco; Seattle</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Location Type</strong></p>\n<p>On-site</p>\n<p><strong>Department</strong></p>\n<p>Applied AI</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$230K – $325K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. 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One that you can pair with, delegate to, or even ask to take on future tasks proactively. Our team is a fast-moving group within OpenAI, bringing together research, engineering, design, and product. We iteratively build the Codex agent harness and product to get the most out of the model, and we iteratively train the model to be great at complex software engineering tasks.</p>\n<p><strong>About the Role</strong></p>\n<p>Codex Cloud owns cloud-based agentic experiences like code review and cloud tasks (with many more on the way), but also the underlying runtime/orchestration layer for cloud-based agentic tasks. That runtime is the execution and infrastructure layer that turns Codex from a code generator into a real AI software engineer operating at scale. It provides secure, sandboxed environments where Codex can run commands, read and write files, execute tests, and iteratively improve its work across real codebases — just like a human developer. More broadly, Codex Runtime is the distributed systems substrate that enables large numbers of supervised AI agents to run inside OpenAI’s and customers’ data centers, tackling increasingly complex goals over long time horizons. 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