<?xml version="1.0" encoding="UTF-8"?>
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  <jobs>
    <job>
      <externalid>7dc0b69a-5b8</externalid>
      <Title>Senior Engineer, Storage Control Plane</Title>
      <Description><![CDATA[<p>We&#39;re looking for a Senior Storage Engineer to play a key role in designing, building, and operating the control plane for our high-performance AI storage platform. You&#39;ll help evolve CoreWeave&#39;s storage systems by building reliable, scalable, and high-throughput solutions that power some of the largest and innovative AI workloads in the world.</p>
<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>
<p>Key responsibilities include:</p>
<ul>
<li>Design and implement a highly scalable multi-tenant control plane that supports CoreWeave&#39;s growing AI storage and cloud infrastructure needs.</li>
<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>
<li>Work with technologies such as RDMA, GPU Direct Storage, RoCE, InfiniBand, SPDK, and distributed filesystems to optimize storage performance and efficiency.</li>
<li>Participate in efforts to improve the reliability, durability, and observability of our storage stack.</li>
<li>Collaborate with operations teams to monitor, analyze, and optimize storage systems using telemetry, metrics, and dashboards to improve performance, latency, and resilience.</li>
<li>Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack.</li>
<li>Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems.</li>
</ul>
<p>The ideal candidate will have:</p>
<ul>
<li>A Bachelor&#39;s or Master&#39;s degree in Computer Science, Engineering, or a related field.</li>
<li>6–10 years of experience working in storage systems engineering or infrastructure.</li>
<li>Strong hands-on experience with object storage or distributed filesystems in production environments.</li>
<li>Experience with one or more storage protocols (e.g. S3, NFS) and file systems such as Ceph, DAOS, or similar.</li>
<li>Proficiency in a systems programming language such as Go, C, or Rust.</li>
<li>Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana).</li>
<li>Solid understanding of cloud-native infrastructure, Kubernetes, and scalable system architecture.</li>
<li>Strong debugging and problem-solving skills in distributed, high-performance environments.</li>
<li>Clear communicator, able to work collaboratively across teams and share technical insights effectively.</li>
</ul>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange>$139,000 to $204,000</Salaryrange>
      <Skills>object storage, distributed filesystems, RDMA, GPU Direct Storage, RoCE, InfiniBand, SPDK, cloud-native infrastructure, Kubernetes, scalable system architecture</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>CoreWeave</Employername>
      <Employerlogo>https://logos.yubhub.co/coreweave.com.png</Employerlogo>
      <Employerdescription>CoreWeave is a cloud computing company that provides a platform for building and scaling AI applications.</Employerdescription>
      <Employerwebsite>https://www.coreweave.com</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/coreweave/jobs/4611874006</Applyto>
      <Location>Sunnyvale, CA / Bellevue, WA</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>33821044-320</externalid>
      <Title>Principal Engineer, Storage</Title>
      <Description><![CDATA[<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>
<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>
<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>
<p>About the role:</p>
<ul>
<li>Design and implement a highly scalable multi-tenant control plane that supports CoreWeave&#39;s growing AI storage and cloud infrastructure needs.</li>
<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>
<li>Work with technologies such as RDMA, GPU Direct Storage, RoCE, InfiniBand, SPDK, and distributed filesystems to optimize storage performance and efficiency.</li>
<li>Participate in efforts to improve the reliability, durability, and observability of our storage stack.</li>
<li>Collaborate with operations teams to monitor, analyze, and optimize storage systems using telemetry, metrics, and dashboards to improve performance, latency, and resilience.</li>
<li>Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack.</li>
<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>
</ul>
<p>Who You Are:</p>
<ul>
<li>Bachelor’s, Master’s, or PHD degree in Computer Science, Engineering, or a related field.</li>
<li>8–10+ years of experience working in storage systems engineering.</li>
<li>Strong hands-on experience with object storage, block storage or distributed filesystems in production environments.</li>
<li>Proficiency in a systems programming language such as Go, C, or Rust.</li>
<li>Solid understanding of cloud-native infrastructure, Kubernetes, and scalable system architecture.</li>
<li>Strong debugging and problem-solving skills in distributed, high-performance environments.</li>
<li>Clear communicator, able to work collaboratively across teams and share technical insights effectively.</li>
<li>Familiarity with the trade offs between HDD and SSD based storage systems.</li>
</ul>
<p>The base salary range for this role is $206,000 to $303,000.</p>
<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>
<p>What We Offer</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, including:</p>
<ul>
<li>Medical, dental, and vision insurance</li>
<li>100% paid for by CoreWeave</li>
<li>Company-paid Life Insurance</li>
<li>Voluntary supplemental life insurance</li>
<li>Short and long-term disability insurance</li>
<li>Flexible Spending Account</li>
<li>Health Savings Account</li>
<li>Tuition Reimbursement</li>
<li>Ability to Participate in Employee Stock Purchase Program (ESPP)</li>
<li>Mental Wellness Benefits through Spring Health</li>
<li>Family-Forming support provided by Carrot</li>
<li>Paid Parental Leave</li>
<li>Flexible, full-service childcare support with Kinside</li>
<li>401(k) with a generous employer match</li>
<li>Flexible PTO</li>
<li>Catered lunch each day in our office and data center locations</li>
<li>A casual work environment</li>
<li>A work culture focused on innovative disruption</li>
</ul>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange>$206,000 to $303,000</Salaryrange>
      <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</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>CoreWeave</Employername>
      <Employerlogo>https://logos.yubhub.co/coreweave.com.png</Employerlogo>
      <Employerdescription>CoreWeave is a technology company that delivers a platform for building and scaling AI with confidence.</Employerdescription>
      <Employerwebsite>https://www.coreweave.com</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/coreweave/jobs/4646276006</Applyto>
      <Location>Bellevue, WA</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>0ae48270-bef</externalid>
      <Title>Senior Software Engineer, Storage Engineer</Title>
      <Description><![CDATA[<p>The Storage Engine Organisation at CoreWeave is responsible for the product capabilities and data plane function of CoreWeave&#39;s managed storage products.</p>
<p>We build reliable, scalable storage solutions with segment leading performance. Storage engine works with engineering teams across infrastructure, compute, and platform to ensure our storage services meet the needs of the world&#39;s most demanding AI workloads.</p>
<p>The role involves designing and implementing distributed storage solutions to support scaling data-intensive AI workloads, contributing to the development of exabyte-scale, S3-compatible object storage, and integrating dedicated storage clusters into diverse customer environments.</p>
<p>Key responsibilities include working with technologies such as RDMA, GPU Direct Storage, and distributed filesystems protocols like NFS or FUSE to optimise storage performance and efficiency, participating in efforts to improve the reliability, durability, and observability of our storage stack, collaborating with operations teams to monitor, troubleshoot, and improve storage systems in production environments, and helping develop metrics and dashboards to provide visibility into storage performance and health.</p>
<p>The ideal candidate will have a strong background in storage systems engineering or infrastructure, with experience working with object storage or distributed filesystems in production environments, proficiency in a systems programming language like Go, C, or Rust, and familiarity with storage observability tools and telemetry pipelines.</p>
<p>As a senior software engineer, you will be responsible for designing, developing, and deploying scalable and efficient storage solutions, working closely with cross-functional teams to ensure seamless integration with other components of the platform, and mentoring junior engineers to help them grow in their roles.</p>
<p>If you are passionate about building high-performance storage solutions and have a strong background in software engineering, we encourage you to apply for this exciting opportunity.</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange>$139,000 to $204,000</Salaryrange>
      <Skills>Storage systems engineering, Infrastructure, Object storage, Distributed filesystems, RDMA, GPU Direct Storage, NFS, FUSE, Systems programming languages (Go, C, Rust), Storage observability tools, Telemetry pipelines</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>CoreWeave</Employername>
      <Employerlogo>https://logos.yubhub.co/coreweave.com.png</Employerlogo>
      <Employerdescription>CoreWeave is a cloud computing company that provides a platform for building and scaling AI applications.</Employerdescription>
      <Employerwebsite>https://www.coreweave.com</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/coreweave/jobs/4643524006</Applyto>
      <Location>Livingston, NJ/ New York , NY / Sunnyvale, CA / Bellevue, WA</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>f2c6f765-eca</externalid>
      <Title>Staff Engineer, Storage Control Plane</Title>
      <Description><![CDATA[<p>We&#39;re looking for a Staff Storage Engineer to play a key role in designing, building, and operating the control plane for our high-performance AI storage platform. You&#39;ll help evolve CoreWeave&#39;s storage systems by building reliable, scalable, and high-throughput solutions that power some of the largest and innovative AI workloads in the world.</p>
<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>
<p>About the role:</p>
<ul>
<li>Design and implement a highly scalable multi-tenant control plane that supports CoreWeave&#39;s growing AI storage and cloud infrastructure needs.</li>
</ul>
<ul>
<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>
</ul>
<ul>
<li>Work with technologies such as RDMA, GPU Direct Storage, RoCE, InfiniBand, SPDK, and distributed filesystems to optimize storage performance and efficiency.</li>
</ul>
<ul>
<li>Participate in efforts to improve the reliability, durability, and observability of our storage stack.</li>
</ul>
<ul>
<li>Collaborate with operations teams to monitor, analyze, and optimize storage systems using telemetry, metrics, and dashboards to improve performance, latency, and resilience.</li>
</ul>
<ul>
<li>Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack.</li>
</ul>
<ul>
<li>Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems.</li>
</ul>
<p>Who You Are:</p>
<ul>
<li>Bachelor&#39;s or Master&#39;s degree in Computer Science, Engineering, or a related field.</li>
</ul>
<ul>
<li>10+ years of experience working in storage systems engineering or infrastructure.</li>
</ul>
<ul>
<li>Strong hands-on experience with object storage or distributed filesystems in production environments.</li>
</ul>
<ul>
<li>Experience with one or more storage protocols (e.g. S3, NFS) and file systems such as Ceph, DAOS, or similar.</li>
</ul>
<ul>
<li>Proficiency in a systems programming language such as Go, C++, or Rust.</li>
</ul>
<ul>
<li>Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana).</li>
</ul>
<ul>
<li>Solid understanding of cloud-native infrastructure, Kubernetes, and scalable system architecture.</li>
</ul>
<ul>
<li>Strong debugging and problem-solving skills in distributed, high-performance environments.</li>
</ul>
<ul>
<li>Clear communicator, able to work collaboratively across teams and share technical insights effectively.</li>
</ul>
<p>Wondering if you&#39;re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren&#39;t a 100% skill or experience match. Here are a few qualities we&#39;ve found compatible with our team. If some of this describes you, we&#39;d love to talk.</p>
<p>Why CoreWeave?</p>
<p>At CoreWeave, we work hard, have fun, and move fast! We&#39;re in an exciting stage of hyper-growth that you will not want to miss out on. We&#39;re not afraid of a little chaos, and we&#39;re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:</p>
<ul>
<li>Be Curious at Your Core</li>
</ul>
<ul>
<li>Act Like an Owner</li>
</ul>
<ul>
<li>Empower Employees</li>
</ul>
<ul>
<li>Deliver Best-in-Class Client Experiences</li>
</ul>
<ul>
<li>Achieve More Together</li>
</ul>
<p>We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!</p>
<p>The base salary range for this role is $165,000 to $242,000. 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).</p>
<p>What We Offer</p>
<p>The range we&#39;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. In addition to a competitive salary, we offer a variety of benefits to support your needs, including:</p>
<ul>
<li>Medical, dental, and vision insurance</li>
</ul>
<ul>
<li>100% paid for by CoreWeave</li>
</ul>
<ul>
<li>Company-paid Life Insurance</li>
</ul>
<ul>
<li>Voluntary supplemental life insurance</li>
</ul>
<ul>
<li>Short and long-term disability insurance</li>
</ul>
<ul>
<li>Flexible Spending Account</li>
</ul>
<ul>
<li>Health Savings Account</li>
</ul>
<ul>
<li>Tuition Reimbursement</li>
</ul>
<ul>
<li>Ability to Participate in Employee Stock Purchase Program (ESPP)</li>
</ul>
<ul>
<li>Mental Wellness Benefits through Spring Health</li>
</ul>
<ul>
<li>Family-Forming support provided by Carrot</li>
</ul>
<ul>
<li>Paid Parental Leave</li>
</ul>
<ul>
<li>Flexible, full-service childcare support with Kinside</li>
</ul>
<ul>
<li>401(k) with a generous employer match</li>
</ul>
<ul>
<li>Flexible PTO</li>
</ul>
<ul>
<li>Catered lunch each day in our office and data center locations</li>
</ul>
<ul>
<li>A casual work environment</li>
</ul>
<ul>
<li>A work culture focused on innovative disruption</li>
</ul>
<p>Our Workplace</p>
<p>While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.</p>
<p>California Consumer Privacy Act - California applicants only</p>
<p>CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com.</p>
<p>Export Control Compliance</p>
<p>This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>staff</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange>$165,000 to $242,000</Salaryrange>
      <Skills>object storage, distributed filesystems, storage protocols, file systems, cloud-native infrastructure, Kubernetes, scalable system architecture, systems programming language, Go, C++, Rust, storage observability tools, telemetry pipelines</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>CoreWeave</Employername>
      <Employerlogo>https://logos.yubhub.co/coreweave.com.png</Employerlogo>
      <Employerdescription>CoreWeave is a cloud computing company that provides a platform for building and scaling AI applications.</Employerdescription>
      <Employerwebsite>https://www.coreweave.com</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/coreweave/jobs/4669836006</Applyto>
      <Location>Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA / Dallas, TX</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>5b6f9322-a9a</externalid>
      <Title>Staff Engineer, Storage Engine</Title>
      <Description><![CDATA[<p>CoreWeave is seeking a Staff Engineer, Storage Engine to join their team. The successful candidate will design and implement distributed storage solutions to support scaling data-intensive AI workloads. They will contribute to the development of exabyte-scale, S3-compatible object storage and integrate dedicated storage clusters into diverse customer environments.</p>
<p>Key responsibilities include:</p>
<ul>
<li>Designing and implementing distributed storage solutions to support scaling data-intensive AI workloads</li>
<li>Contributing to the development of exabyte-scale, S3-compatible object storage</li>
<li>Integrating dedicated storage clusters into diverse customer environments</li>
<li>Working with technologies such as RDMA, GPU Direct Storage, and distributed filesystems protocols such as NFS or FUSE to optimize storage performance and efficiency</li>
<li>Leading efforts to improve the reliability, durability, security, and observability of the storage stack</li>
<li>Collaborating with operations teams to monitor, troubleshoot, and improve storage systems in production environments</li>
<li>Setting the bar for developing metrics and dashboards to provide visibility into storage performance and health</li>
<li>Analyzing telemetry and system data to drive improvements in throughput, latency, and resilience</li>
<li>Working cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack</li>
<li>Sharing knowledge and mentoring other engineers on best practices in building distributed, high-performance systems</li>
</ul>
<p>Requirements include:</p>
<ul>
<li>Bachelor&#39;s, Master&#39;s, or PhD degree in Computer Science, Engineering, or a related field</li>
<li>8-10+ years of experience working in storage systems engineering or infrastructure</li>
<li>Strong hands-on experience with object storage or distributed filesystems in production environments</li>
<li>Experience with one or more storage protocols (e.g. S3, NFS) and file systems such as Ceph, DAOS, or similar</li>
<li>Proficiency in a systems programming language such as Go, C, or Rust</li>
<li>Proficiency leveraging AI tools to augment software development</li>
<li>Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana)</li>
<li>Experience working with cloud-native infrastructure, Kubernetes, and scalable system architectures</li>
</ul>
<p>The base salary range for this role is $188,000 to $275,000.</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>staff</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange>$188,000 to $275,000</Salaryrange>
      <Skills>distributed storage, object storage, S3-compatible object storage, RDMA, GPU Direct Storage, distributed filesystems protocols, NFS, FUSE, storage performance and efficiency, reliability, durability, security, observability, telemetry, system data, throughput, latency, resilience, cloud-native infrastructure, Kubernetes, scalable system architectures</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>CoreWeave</Employername>
      <Employerlogo>https://logos.yubhub.co/coreweave.com.png</Employerlogo>
      <Employerdescription>CoreWeave is a cloud computing company that provides a platform for building and scaling AI applications.</Employerdescription>
      <Employerwebsite>https://www.coreweave.com</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/coreweave/jobs/4612047006</Applyto>
      <Location>Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>2d198020-3d5</externalid>
      <Title>Sr. Engineer, Storage</Title>
      <Description><![CDATA[<p>The Storage Engine Team at CoreWeave is responsible for the product capabilities and data plane function of CoreWeave&#39;s managed storage products. We build reliable, scalable storage solutions with segment leading performance. Storage engine works with engineering teams across infrastructure, compute, and platform to ensure our storage services meet the needs of the world&#39;s most demanding AI workloads.</p>
<p>The primary responsibilities of this role include designing and implementing distributed storage solutions to support scaling data-intensive AI workloads, contributing to the development of exabyte-scale, S3-compatible object storage, and integrating dedicated storage clusters into diverse customer environments. Additionally, the successful candidate will work with technologies such as RDMA, GPU Direct Storage, and distributed filesystems protocols such as NFS or FUSE to optimize storage performance and efficiency.</p>
<p>Key responsibilities also include leading efforts to improve the reliability, durability, security, and observability of our storage stack, collaborating with operations teams to monitor, troubleshoot, and improve storage systems in production environments, setting the bar for developing metrics and dashboards to provide visibility into storage performance and health, analyzing telemetry and system data to drive improvements in throughput, latency, and resilience, and working cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack.</p>
<p>A key aspect of this role is sharing knowledge and mentoring other engineers on best practices in building distributed, high-performance systems.</p>
<p>To be successful in this role, the ideal candidate will have a strong background in storage systems engineering or infrastructure, with a minimum of 8-10 years of experience. They will also have hands-on experience with object storage or distributed filesystems in production environments, as well as proficiency in a systems programming language such as Go, C, or Rust. Additionally, they will have experience working with cloud-native infrastructure, Kubernetes, and scalable system architectures, and familiarity with storage observability tools and telemetry pipelines.</p>
<p>If you&#39;re a motivated and experienced engineer looking to join a dynamic team and contribute to the development of cutting-edge storage solutions, we encourage you to apply for this exciting opportunity.</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange>$143,000 to $210,000</Salaryrange>
      <Skills>storage systems engineering, infrastructure, object storage, distributed filesystems, RDMA, GPU Direct Storage, NFS, FUSE, cloud-native infrastructure, Kubernetes, scalable system architectures, storage observability tools, telemetry pipelines, Go, C, Rust, distributed systems, high-performance systems, storage performance and efficiency</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>CoreWeave</Employername>
      <Employerlogo>https://logos.yubhub.co/coreweave.com.png</Employerlogo>
      <Employerdescription>CoreWeave is a cloud computing company that provides a platform for building and scaling AI applications.</Employerdescription>
      <Employerwebsite>https://www.coreweave.com</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/coreweave/jobs/4664429006</Applyto>
      <Location>Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>2c175171-5fd</externalid>
      <Title>Enterprise Account Executive</Title>
      <Description><![CDATA[<p>We&#39;re looking for a motivated and talented Account Executive to join our growing team. At CoreWeave, we&#39;re building the next generation public cloud for accelerated workloads. Your primary responsibilities will be to understand client goals and establish how CoreWeave Cloud can meet their needs, specifically within Machine Learning and Batch Processing use cases.</p>
<p>In this role, you will be responsible for regularly hitting quotas for new business and growing revenue across existing accounts. This position requires creativity, attention to detail, value-based sales skills, and an insatiable desire to help clients succeed.</p>
<p>Responsibilities:</p>
<ul>
<li>Manage a sales pipeline and forecast revenue effectively.</li>
<li>Interact with prospects and clients via Zoom, telephone, and email with a high attention to customization and detail.</li>
<li>Consistently achieve quarterly and annual revenue quotas.</li>
<li>Diligently update and maintain clean pipeline data using Salesforce.com.</li>
<li>Quickly learn the CoreWeave product(s), effectively communicate the value proposition, and handle objections in competitive situations.</li>
<li>Develop a deep understanding of client goals, pain points, and timelines in order to communicate priorities across the CoreWeave organization.</li>
<li>Develop a deep understanding of our target markets, and stay up to date on industry news.</li>
<li>Travel up to 35% to meet with clients and prospects, attend industry events, and participate in on-site meetings.</li>
</ul>
<p>Qualifications:</p>
<ul>
<li>10+ years of experience in B2B sales and/or account management roles.</li>
<li>Minimum of 7 years Direct Enterprise selling experience.</li>
<li>Track record of exceeding sales quotas.</li>
<li>Excellent communication skills, with the ability to clearly explain complex concepts.</li>
<li>Strong understanding of value-based sales best practices and procedures.</li>
<li>Proven ability to perform successfully in a fast-paced and flexible environment.</li>
<li>Passion for developing account expansion strategies and the value of post-sales customer success.</li>
<li>Excellent time management and communication skills.</li>
<li>Desire to drive change and evangelize new technologies in a way that resonates with customers.</li>
<li>Ability to thrive in a fast-paced environment experience is key, a mix of large company and startup experience.</li>
<li>The ability to speak with customers and partners at both a business-level and technical-level.</li>
<li>Knowledge of the storage industry specifically: NFS, Object Storage and Enterprise Computing architectures.</li>
<li>Competitive attitude and strong work ethic with the ability to enthusiastically represent the company.</li>
<li>Proficient with Salesforce.com and Microsoft Office.</li>
</ul>
<p>At CoreWeave, we work hard, have fun, and move fast! We&#39;re in an exciting stage of hyper-growth that you will not want to miss out on. We&#39;re not afraid of a little chaos, and we&#39;re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:</p>
<ul>
<li>Be Curious at Your Core</li>
<li>Act Like an Owner</li>
<li>Empower Employees</li>
<li>Deliver Best-in-Class Client Experiences</li>
<li>Achieve More Together</li>
</ul>
<p>The base salary range for this role is $160,000–$190,000 per year with uncapped commission and total On Target Earnings (OTE) of $320,000–$380,000. The starting salary will be determined by job-related knowledge, skills, experience, and the 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).</p>
<p>What We Offer</p>
<p>The range we&#39;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. In addition to a competitive salary, we offer a variety of benefits to support your needs, including:</p>
<ul>
<li>Medical, dental, and vision insurance</li>
<li>100% paid for by CoreWeave</li>
<li>Company-paid Life Insurance</li>
<li>Voluntary supplemental life insurance</li>
<li>Short and long-term disability insurance</li>
<li>Flexible Spending Account</li>
<li>Health Savings Account</li>
<li>Tuition Reimbursement</li>
<li>Ability to Participate in Employee Stock Purchase Program (ESPP)</li>
<li>Mental Wellness Benefits through Spring Health</li>
<li>Family-Forming support provided by Carrot</li>
<li>Paid Parental Leave</li>
<li>Flexible, full-service childcare support with Kinside</li>
<li>401(k) with a generous employer match</li>
<li>Flexible PTO</li>
<li>Catered lunch each day in our office and data center locations</li>
<li>A casual work environment</li>
<li>A work culture focused on innovative disruption</li>
</ul>
<p>Our Workplace</p>
<p>While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>executive</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange>$160,000–$190,000 per year with uncapped commission and total On Target Earnings (OTE) of $320,000–$380,000</Salaryrange>
      <Skills>B2B sales, Account management, Salesforce.com, Microsoft Office, Value-based sales, Communication skills, Time management, Customer success, Cloud computing, Machine learning, Batch processing, Storage industry, NFS, Object Storage, Enterprise Computing architectures</Skills>
      <Category>Sales</Category>
      <Industry>Technology</Industry>
      <Employername>CoreWeave</Employername>
      <Employerlogo>https://logos.yubhub.co/coreweave.com.png</Employerlogo>
      <Employerdescription>CoreWeave is a cloud computing company that provides a platform for building and scaling AI applications.</Employerdescription>
      <Employerwebsite>https://www.coreweave.com</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/coreweave/jobs/4647802006</Applyto>
      <Location>San Francisco, CA / Sunnyvale, CA</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>e1d2b108-713</externalid>
      <Title>Oracle Fusion Software Developer</Title>
      <Description><![CDATA[<p>We are looking for an expert Oracle Integration Developer to join our Arsenal (Enterprise Systems) team. Your immediate mission: take ownership of our critical enterprise integrations connecting Oracle Fusion ERP with our upstream and downstream systems. These integrations, built on Oracle Integration Cloud, form the digital backbone that governs how we manage our business operations, from product data and procurement to manufacturing and financial processes.</p>
<p>You will be tasked with stabilizing, optimizing, and making them exceptionally robust. Long-term, you will be the subject matter expert responsible for architecting and scaling our enterprise integration landscape. This is a high-impact role for someone who thrives on solving complex data challenges and wants to build the operational foundation that enables Anduril to scale its mission.</p>
<p>The successful candidate will have 5+ years of hands-on experience developing complex integrations with deep specialization in Oracle Integration Cloud (OIC), specifically Oracle Integration 3. They will have proven experience integrating Oracle Fusion Cloud ERP with upstream and downstream enterprise systems, including deep familiarity with ERP data objects such as Items, BOMs, Suppliers, Purchase Orders, Work Orders, Inventory Transactions, and Financial data.</p>
<p>Key responsibilities will include stabilizing and optimizing existing Oracle Fusion ERP integrations, architecting and building new enterprise integrations using Oracle Integration Cloud, owning the integration lifecycle, ensuring data integrity, collaborating and influencing with cross-functional teams, and leveraging modern Oracle Cloud tools.</p>
<p>The ideal candidate will have excellent SQL skills, a strong command of XSLT, XPath, and complex data mapping, demonstrable experience building, securing, and consuming RESTful APIs and SOAP web services, and experience with Oracle Fusion ERP modules such as SCM (Supply Chain Management), Manufacturing, Procurement, or Financials.</p>
<p>A tenacious problem-solver with a track record of troubleshooting, debugging, and stabilizing complex, business-critical systems, the successful candidate will be highly motivated, with a passion for delivering high-quality solutions and a commitment to continuous learning and improvement.</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange>$129,000-$171,000 USD</Salaryrange>
      <Skills>Oracle Integration Cloud, Oracle Fusion Cloud ERP, XSLT, XPath, RESTful APIs, SOAP web services, SQL, Oracle Fusion ERP modules (SCM, Manufacturing, Procurement, or Financials), Oracle Visual Builder Cloud Service, Oracle Business Intelligence Cloud Connector, Oracle Cloud Infrastructure services (Functions, API Gateway, Object Storage, Logging, Autonomous Database), PLM systems (Teamcenter, Windchill, Arena), Git-based source control and CI/CD pipelines, Discrete manufacturing environment, Other programming languages (Python, Groovy, Java)</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Anduril Industries</Employername>
      <Employerlogo>https://logos.yubhub.co/anduril.com.png</Employerlogo>
      <Employerdescription>Anduril Industries is a defence technology company that transforms U.S. and allied military capabilities with advanced technology. It brings the expertise, technology, and business model of the 21st century&apos;s most innovative companies to the defence industry.</Employerdescription>
      <Employerwebsite>https://www.anduril.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/andurilindustries/jobs/5058269007</Applyto>
      <Location>Seattle, Washington, United States</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>8a144188-686</externalid>
      <Title>Solutions Engineer, Benelux</Title>
      <Description><![CDATA[<p>At Cloudflare, we&#39;re on a mission to help build a better Internet. As a Solutions Engineer, you will be part of the Pre-Sales Solution Engineering organisation, owning the technical sale of the Cloudflare solution portfolio. You will work closely with our customers and partners to educate, empower, and ensure their success delivering Cloudflare security, reliability, and performance solutions.</p>
<p>Your role will be to build champions and enable technical teams alongside our Benelux sales organisation to drive pipeline and close deals. As the technical advocate inside Cloudflare, you will work closely with teams across Sales, Product, Engineering, Customer Support and our channel partners to ensure our customers succeed with Cloudflare security, reliability, and performance solutions.</p>
<p>We are looking for someone with strong experience in pre-sales, partner and account management, and excellent verbal and written communication skills in Dutch and English, suited for both technical and executive-level engagement. You should be comfortable speaking about the Cloudflare vision with all audiences.</p>
<p>Specifically, we are looking for you to:</p>
<ul>
<li>Build and maintain long-term technical relationships with prospects, customers and ecosystem organisations across Benelux through demonstrating value, enablement, and uncovering new areas of potential revenue</li>
<li>Drive technical solution design conversations through use case qualification and collaborative technical wins through demonstrations and proofs-of-concept</li>
<li>Develop passionate technical champions within the technology ranks of your accounts, helping them drive sales for identified opportunities and build revenue pipeline</li>
<li>Evangelize and represent Cloudflare through technical thought leadership and expertise</li>
<li>Be the voice of the market internally at Cloudflare, engaging with and influencing Product and Engineering teams to meet the needs of your accounts and their customers</li>
</ul>
<p>You will travel requirement in the Benelux to support engagements, attend conferences and industry events, and collaborate with Cloudflare teammates.</p>
<p>Examples of desirable skills, knowledge and experience include:</p>
<ul>
<li>Fluency in Dutch and English (verbal and written)</li>
<li>Ability to communicate complex technical concepts to both technical and non-technical audiences, including C-level stakeholders</li>
<li>Strong presentation and storytelling skills (whiteboarding, demos, executive briefings)</li>
<li>Experience managing technical sales cycles end-to-end</li>
<li>Ability to articulate business value and ROI of technical solutions, not just features</li>
<li>Experience working within an integrated account team (alongside Account Executives, Customer Success, BDRs, and channel partners)</li>
<li>Networking technologies including TCP/IP, UDP, DNS (authoritative and recursive, DNSSEC), IPv4/IPv6, BGP routing, Autonomous Systems, subnetting</li>
<li>Tunneling and connectivity: GRE, IPsec, MPLS, SDWAN</li>
<li>Cloud networking concepts: VPCs, peering, interconnect</li>
<li>DDoS attack types (L3/L4/L7) and mitigation strategies</li>
<li>Web Application Firewall (WAF) rule configuration and tuning</li>
<li>VPN concepts and their limitations relative to Zero Trust approaches</li>
<li>API security: API Gateway, rate limiting, schema validation, abuse prevention</li>
<li>Bot management concepts and detection techniques</li>
<li>SASE concepts and Zero Trust Networking architectures (ZTNA, CASB, SWG, DLP, RBI as integrated platform)</li>
<li>Zero Trust Network Access (ZTNA) vs. traditional VPN architecture</li>
<li>HTTP technologies and reverse proxy architecture: WAF, CDN, caching mechanics</li>
<li>Detailed understanding of the flow from user to application, including hybrid cloud architectures</li>
<li>Working knowledge of major cloud platforms: AWS, Azure, GCP (architecture patterns, native security tooling, VPC/peering models)</li>
<li>Familiarity with Infrastructure-as-Code concepts (e.g. Terraform)</li>
<li>Cloudflare Workers and the edge compute model (JavaScript/TypeScript)</li>
<li>Familiarity with related primitives: KV, Object storage, serverless compute</li>
<li>Familiarity with the competitive landscape across Cloudflare&#39;s product areas</li>
<li>Understanding of why customers move from on-premises appliances to cloud-delivered security</li>
<li>Awareness of relevant industry verticals: Financial Services, eCommerce, Gaming, Media, SaaS, Healthcare</li>
</ul>
<p>We value intellectual curiosity, adaptability, and a collaborative spirit. On the Solutions Engineering team, you will find an environment where everyone brings different strengths and jumps in to help each other. If you are passionate about technology and look forward to helping customers and ecosystem organisations realise the full promise of Cloudflare, we&#39;d love to hear from you.</p>
<p>What makes Cloudflare special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo: Since 2014, we&#39;ve equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>Networking technologies including TCP/IP, UDP, DNS (authoritative and recursive, DNSSEC), IPv4/IPv6, BGP routing, Autonomous Systems, subnetting, Tunneling and connectivity: GRE, IPsec, MPLS, SDWAN, Cloud networking concepts: VPCs, peering, interconnect, DDoS attack types (L3/L4/L7) and mitigation strategies, Web Application Firewall (WAF) rule configuration and tuning, VPN concepts and their limitations relative to Zero Trust approaches, API security: API Gateway, rate limiting, schema validation, abuse prevention, Bot management concepts and detection techniques, SASE concepts and Zero Trust Networking architectures (ZTNA, CASB, SWG, DLP, RBI as integrated platform), Zero Trust Network Access (ZTNA) vs. traditional VPN architecture, HTTP technologies and reverse proxy architecture: WAF, CDN, caching mechanics, Detailed understanding of the flow from user to application, including hybrid cloud architectures, Working knowledge of major cloud platforms: AWS, Azure, GCP (architecture patterns, native security tooling, VPC/peering models), Familiarity with Infrastructure-as-Code concepts (e.g. Terraform), Cloudflare Workers and the edge compute model (JavaScript/TypeScript), Familiarity with related primitives: KV, Object storage, serverless compute, Familiarity with the competitive landscape across Cloudflare&apos;s product areas, Understanding of why customers move from on-premises appliances to cloud-delivered security, Awareness of relevant industry verticals: Financial Services, eCommerce, Gaming, Media, SaaS, Healthcare</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Cloudflare</Employername>
      <Employerlogo>https://logos.yubhub.co/cloudflare.com.png</Employerlogo>
      <Employerdescription>Cloudflare provides a network that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.</Employerdescription>
      <Employerwebsite>https://www.cloudflare.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/cloudflare/jobs/7742347</Applyto>
      <Location>Hybrid</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>4075c787-328</externalid>
      <Title>Member of Technical Staff - Large Scale Data Infrastructure</Title>
      <Description><![CDATA[<p>We&#39;re looking for infrastructure engineers to work at peta-to-exabyte scale. You&#39;ll build data systems behind the largest training runs on thousands of GPUs, where fixing one bottleneck lets researchers train the next breakthrough model.</p>
<p><strong>What You&#39;ll Work On:</strong></p>
<ul>
<li>Scalable data loaders for training runs across thousands of GPUs</li>
<li>Efficient storage and retrieval systems for petabyte-scale datasets</li>
<li>Multi-cloud object storage abstraction</li>
<li>Execute large-scale data migrations across storage systems and providers</li>
<li>Debug and resolve performance bottlenecks in distributed data loading</li>
</ul>
<p><strong>Technical Focus:</strong></p>
<ul>
<li>Python, PyTorch DataLoader internals</li>
<li>Object storage (e.g. S3, Azure Blob, GCS)</li>
<li>Parquet for metadata</li>
<li>Video: ffmpeg, PyAV, codec fundamentals</li>
</ul>
<p><strong>What We&#39;re Looking For:</strong></p>
<ul>
<li>Built and operated data pipelines at petabyte scale</li>
<li>Optimized data loading</li>
<li>Worked with petabyte-scale video and image datasets</li>
<li>Written processing jobs operating on millions of files</li>
<li>Debugged distributed system bottlenecks across large fleets of machines</li>
</ul>
<p><strong>Nice to Have:</strong></p>
<ul>
<li>Experience streaming dataset formats (e.g. WebDataset)</li>
<li>Video codec internals and frame-accurate seeking</li>
<li>Distributed systems experience</li>
<li>Slurm and Kubernetes for job orchestration</li>
<li>Experience with object storage performance tuning across providers</li>
</ul>
<p><strong>How We Work Together:</strong></p>
<ul>
<li>We&#39;re a distributed team with real offices that people actually use. Depending on your role, you&#39;ll either join us in Freiburg or SF at least 2 days a week (or one full week every other week), or work remotely with a monthly in-person week to stay connected. We&#39;ll cover reasonable travel costs to make this possible. We think in-person time matters, and we&#39;ve structured things to make it accessible to all. We&#39;ll discuss what this will look like for the role during our interview process.</li>
</ul>
<p><strong>Everything we do is grounded in four values:</strong></p>
<ul>
<li>Obsessed. We are a frontier research lab. The science has to be right, the understanding deep, the product beautiful.</li>
<li>Low Ego. The work speaks. The best idea wins, no matter who said it. Credit is shared. Nobody is above any task.</li>
<li>Bold. We take the ambitious bet. We ship, we do not wait for conditions to be perfect.</li>
<li>Kind. People over politics. We treat each other with genuine warmth. Agency without empathy creates chaos.</li>
</ul>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>staff</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange>$180,000–$300,000 USD + Equity</Salaryrange>
      <Skills>Python, PyTorch, Data Loader Internals, Object Storage, Parquet, Video, ffmpeg, PyAV, Codec Fundamentals, WebDataset, Distributed Systems, Slurm, Kubernetes, Object Storage Performance Tuning</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Black Forest Labs</Employername>
      <Employerlogo>https://logos.yubhub.co/blackforestlabs.com.png</Employerlogo>
      <Employerdescription>Black Forest Labs is a research lab developing foundational technologies for generative models that power image and video creation.</Employerdescription>
      <Employerwebsite>https://www.blackforestlabs.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/blackforestlabs/jobs/5019171008</Applyto>
      <Location>Freiburg (Germany), San Francisco (USA)</Location>
      <Country></Country>
      <Postedate>2026-04-17</Postedate>
    </job>
  </jobs>
</source>