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<source>
  <jobs>
    <job>
      <externalid>b05b9f90-7d3</externalid>
      <Title>Data Center Engineer, Resource Efficiency – Compute Supply</Title>
      <Description><![CDATA[<p><strong>About the Role</strong></p>
<p>As a Power &amp; Resource Efficiency Engineer, you&#39;ll sit at the intersection of IT and facilities , building the systems, models, and control loops that optimize how we allocate and consume power, cooling, and physical capacity across our TPU/GPU fleet.</p>
<p>You&#39;ll own the technical strategy for turning raw data center capacity into reliable, efficient compute, working across power topology, workload scheduling, and real-time telemetry to push utilization as close to the physical envelope as possible while maintaining our availability commitments.</p>
<p><strong>Responsibilities</strong></p>
<ul>
<li>Build models that forecast consumption across electrical and mechanical subsystems, informing capacity planning, energy procurement, oversubscription targets and risks, including statistical modeling of cluster utilization, workload profiles, and failure modes.</li>
</ul>
<ul>
<li>Design IT/OT interfaces that bridge compute orchestration with facility controls, enabling real-time telemetry across accelerator hardware, power distribution, cooling, and schedulers.</li>
</ul>
<ul>
<li>Build and operate load management systems that use power and cooling topology to enable load management and power/thermal-aware placement to maximize throughput while meeting SLOs.</li>
</ul>
<ul>
<li>Partner with data center providers to drive design optimizations and hold them accountable to SLA-grade performance standards, providing technical diligence on partner architectures.</li>
</ul>
<p><strong>What We&#39;re Looking For</strong></p>
<ul>
<li>Deep knowledge of data center power distribution and cooling architectures, and how they interact with IT load profiles. Experience with reliability engineering, SLA development, and failure-mode analysis.</li>
</ul>
<ul>
<li>Proficiency in statistical modeling and simulation for infrastructure capacity or power utilization.</li>
</ul>
<ul>
<li>Familiarity with SCADA/BMS/EPMS, telemetry pipelines, and control systems. Experience building software that bridges IT and OT.</li>
</ul>
<ul>
<li>Exposure to accelerator deployments and their power management interfaces strongly preferred.</li>
</ul>
<ul>
<li>Demand response, grid interaction, or behind-the-meter generation experience is a plus.</li>
</ul>
<ul>
<li>Ability to translate between infrastructure engineering, software teams, and external partners.</li>
</ul>
<p><strong>Required Qualifications</strong></p>
<ul>
<li>Bachelor&#39;s degree in Electrical Engineering, Mechanical Engineering, Power Systems, Controls Engineering, or a related field.</li>
</ul>
<ul>
<li>5+ years of experience in data center infrastructure or facility engineering.</li>
</ul>
<ul>
<li>Demonstrated experience with data center power distribution and cooling system architectures.</li>
</ul>
<ul>
<li>Experience building or operating software-based power management, load scheduling, or control systems.</li>
</ul>
<ul>
<li>Proficiency in Python or similar languages for statistical modeling, simulation, or automation of data center infrastructure optimizations.</li>
</ul>
<ul>
<li>Familiarity with SCADA, BMS, EPMS, or industrial control systems and associated protocols (Modbus, BACnet, SNMP).</li>
</ul>
<ul>
<li>Track record of cross-functional collaboration across hardware, software, and facilities teams.</li>
</ul>
<p><strong>Preferred Qualifications</strong></p>
<ul>
<li>Master&#39;s or PhD in Controls, Power Systems, or related discipline and 3+ years of experience in data center infrastructure or facility engineering.</li>
</ul>
<ul>
<li>Experience with accelerator-class deployments and their power management interfaces.</li>
</ul>
<ul>
<li>Background in control theory, dynamical systems, or cyber-physical systems design.</li>
</ul>
<ul>
<li>Experience with energy storage, microgrid integration, demand response, or behind-the-meter generation.</li>
</ul>
<ul>
<li>Familiarity with reliability engineering methods.</li>
</ul>
<ul>
<li>Experience with SLA development, availability modeling, or service credit frameworks.</li>
</ul>
<ul>
<li>Exposure to ML/optimization techniques applied to infrastructure or energy systems.</li>
</ul>
<p><strong>Salary</strong></p>
<p>The annual compensation range for this role is $320,000-$405,000 USD.</p>
<p><strong>Benefits</strong></p>
<p>We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with our team.</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>$320,000-$405,000 USD</Salaryrange>
      <Skills>data center power distribution, cooling architectures, IT load profiles, reliability engineering, SLA development, failure-mode analysis, statistical modeling, simulation, infrastructure capacity, power utilization, SCADA/BMS/EPMS, telemetry pipelines, control systems, accelerator deployments, power management interfaces, demand response, grid interaction, behind-the-meter generation, Python, automation, data center infrastructure optimizations, SCADA, BMS, EPMS, industrial control systems, Modbus, BACnet, SNMP, accelerator-class deployments, control theory, dynamical systems, cyber-physical systems design, energy storage, microgrid integration, reliability engineering methods, availability modeling, service credit frameworks, ML/optimization techniques</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Anthropic</Employername>
      <Employerlogo>https://logos.yubhub.co/anthropic.com.png</Employerlogo>
      <Employerdescription>Anthropic creates reliable, interpretable, and steerable AI systems. It operates at massive scale, with a focus on extracting maximum compute throughput from every watt.</Employerdescription>
      <Employerwebsite>https://www.anthropic.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/anthropic/jobs/5159642008</Applyto>
      <Location>Remote-Friendly, United States</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>a3e5c23b-397</externalid>
      <Title>Sustainable Data Center Design Manager</Title>
      <Description><![CDATA[<p><strong>Job Title: Sustainable Data Center Design Manager</strong></p>
<p>We are seeking a highly skilled and experienced Sustainable Data Center Design Manager to lead sustainability-driven design initiatives across our data center construction projects and engineering design.</p>
<p><strong>About the Role:</strong></p>
<p>The focus of this role is on embedding sustainability into data center design, ensuring that projects integrate onsite renewables, energy-efficiency strategies, low-carbon materials, water-conservation measures, and alternative refrigerants.</p>
<p><strong>Responsibilities:</strong></p>
<ul>
<li>Act as the bridge between corporate sustainability goals and data center design execution, ensuring that high-level sustainability objectives translate into practical, technically sound design solutions.</li>
</ul>
<ul>
<li>Collaboration &amp; Technical Leadership – Partner with MEP engineers, architects, sustainability consultants, and construction teams to integrate sustainable solutions into data center designs, ensuring alignment with engineering specifications and sustainability objectives.</li>
</ul>
<ul>
<li>Energy Efficiency Design – Lead efforts to optimize energy efficiency, integrating technologies like AI-driven predictive modeling, automated energy management systems, and smart grid capabilities for operational savings.</li>
</ul>
<ul>
<li>Onsite Renewables Evaluation – Evaluate and, where feasible, implement solar PV, wind energy, and battery storage systems, analyzing their technical, financial, and environmental impacts.</li>
</ul>
<ul>
<li>Grid Interactivity &amp; Demand Response – Design data centers with a focus on energy resilience, including peak shaving, demand response, and microgrid capabilities that support the local grid.</li>
</ul>
<ul>
<li>Lifecycle Carbon Analysis – Conduct carbon lifecycle assessments of design options, helping to identify and implement strategies that reduce overall greenhouse gas emissions.</li>
</ul>
<ul>
<li>Water Conservation Design – Develop water-efficient systems, integrating renewable-powered cooling technologies and exploring innovative solutions like rainwater harvesting and closed-loop water systems.</li>
</ul>
<ul>
<li>Sustainable Materials &amp; Construction – Recommend the use of sustainable, low-carbon building materials and ensure compliance with green building standards such as LEED.</li>
</ul>
<ul>
<li>Alternative Refrigerants – Implement and advocate for low-GWP refrigerants and other sustainable HVAC solutions that reduce the environmental impact of data center cooling.</li>
</ul>
<ul>
<li>AI &amp; Automation in Design – Utilize AI tools and automation technologies to optimize building designs for energy efficiency, water conservation, and operational flexibility.</li>
</ul>
<ul>
<li>Sustainability Certifications – Ensure designs meet or exceed the requirements for certifications like LEED, WELL, ENERGY STAR, and other green building standards.</li>
</ul>
<ul>
<li>Construction Oversight – Oversee the construction and commissioning of sustainable design elements, ensuring compliance with both design specifications and sustainability targets.</li>
</ul>
<p><strong>Requirements:</strong></p>
<ul>
<li>Bachelor&#39;s degree or equivalent experience in Renewable Energy, Sustainability, or related field.</li>
</ul>
<ul>
<li>5+ years in data center design, renewable energy integration, or energy infrastructure development.</li>
</ul>
<ul>
<li>Demonstrated expertise and strong knowledge of sustainable energy technologies, including solar PV, wind, battery storage, microgrid integration, energy efficiency systems, water conservation, and grid interactivity.</li>
</ul>
<ul>
<li>Experience in applying financial analysis to energy projects, including cost justification, Return on Investment (ROI) analysis, and knowledge of relevant incentive programs for renewable energy and sustainability initiatives.</li>
</ul>
<ul>
<li>Proven ability to manage the implementation of sustainable solutions from the design phase through construction and commissioning.</li>
</ul>
<ul>
<li>Ability to effectively communicate and present complex technical and financial analyses to diverse audiences, including executives, engineering teams, and regulatory agencies.</li>
</ul>
<p><strong>Why CoreWeave?</strong></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>
<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><strong>Salary Range:</strong></p>
<p>The base salary range for this role is $134,000 to $179,000. The starting salary will be determined by job-related knowledge, skills, experience, and the market location.</p>
<p><strong>Benefits:</strong></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>Flexible Paid Time Off (PTO) policy</li>
<li>Opportunities for professional growth and development</li>
</ul>
<p><strong>Category:</strong></p>
<p>Engineering</p>
<p><strong>Industry:</strong></p>
<p>Technology</p>
<p><strong>Required Skills:</strong></p>
<ul>
<li>Sustainable energy technologies</li>
<li>Solar PV</li>
<li>Wind energy</li>
<li>Battery storage</li>
<li>Microgrid integration</li>
<li>Energy efficiency systems</li>
<li>Water conservation</li>
<li>Grid interactivity</li>
</ul>
<p><strong>Preferred Skills:</strong></p>
<ul>
<li>AI tools and automation technologies</li>
<li>LEED certification</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>onsite</Workarrangement>
      <Salaryrange>The base salary range for this role is $134,000 to $179,000.</Salaryrange>
      <Skills>Sustainable energy technologies, Solar PV, Wind energy, Battery storage, Microgrid integration, Energy efficiency systems, Water conservation, Grid interactivity, AI tools and automation technologies, LEED certification</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 delivers a platform of technology, tools, and teams 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/4661968006</Applyto>
      <Location>Livingston, NJ / New York, NY / Sunnyvale, CA / San Francisco, CA / Bellevue, WA / Richmond, VA</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>e53014e6-57c</externalid>
      <Title>Data Center Engineer, Resource Efficiency – Compute Supply</Title>
      <Description><![CDATA[<p>As a Power &amp; Resource Efficiency Engineer, you&#39;ll sit at the intersection of IT and facilities , building the systems, models, and control loops that optimize how we allocate and consume power, cooling, and physical capacity across our TPU/GPU fleet.</p>
<p>You&#39;ll own the technical strategy for turning raw data center capacity into reliable, efficient compute, working across power topology, workload scheduling, and real-time telemetry to push utilization as close to the physical envelope as possible while maintaining our availability commitments.</p>
<p>Key responsibilities include:</p>
<ul>
<li>Building models that forecast consumption across electrical and mechanical subsystems, informing capacity planning, energy procurement, oversubscription targets and risks, including statistical modeling of cluster utilization, workload profiles, and failure modes.</li>
</ul>
<ul>
<li>Designing IT/OT interfaces that bridge compute orchestration with facility controls, enabling real-time telemetry across accelerator hardware, power distribution, cooling, and schedulers.</li>
</ul>
<ul>
<li>Building and operating load management systems that use power and cooling topology to enable load management and power/thermal-aware placement to maximize throughput while meeting SLOs.</li>
</ul>
<ul>
<li>Partnering with data center providers to drive design optimizations and hold them accountable to SLA-grade performance standards, providing technical diligence on partner architectures.</li>
</ul>
<p>In this role, you&#39;ll need to have deep knowledge of data center power distribution and cooling architectures, and how they interact with IT load profiles. Experience with reliability engineering, SLA development, and failure-mode analysis is also essential.</p>
<p>Additionally, proficiency in statistical modeling and simulation for infrastructure capacity or power utilization, familiarity with SCADA/BMS/EPMS, telemetry pipelines, and control systems, and exposure to accelerator deployments and their power management interfaces are highly desirable.</p>
<p>This is a challenging and rewarding role that requires a unique blend of technical expertise, business acumen, and collaboration skills. If you&#39;re passionate about data center infrastructure, AI, and sustainability, we encourage you to apply.</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>$320,000-$405,000 USD</Salaryrange>
      <Skills>data center power distribution and cooling architectures, _SYSTEMS, reliability engineering, SLA development, failure-mode analysis, statistical modeling and simulation, SCADA/BMS/EPMS, telemetry pipelines, control systems, accelerator deployments, power management interfaces, Python, similar languages, control theory, dynamical systems, cyber-physical systems design, energy storage, microgrid integration, demand response, behind-the-meter generation</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Anthropic</Employername>
      <Employerlogo>https://logos.yubhub.co/anthropic.com.png</Employerlogo>
      <Employerdescription>Anthropic creates reliable, interpretable, and steerable AI systems. It operates at massive scale, with a focus on extracting maximum compute throughput from every watt.</Employerdescription>
      <Employerwebsite>https://www.anthropic.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/anthropic/jobs/5159642008</Applyto>
      <Location>Remote-Friendly, United States</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
  </jobs>
</source>