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CoreWeave

Rents GPU cloud computing for AI developers

Staff White Space Design Engineer

Power Systems EngineeringUpdated on Nov 13
Full-timeIn-person

About the Job

Requirements

  • A bachelor's degree in Engineering, such as Mechanical, Electrical, Network, Low Voltage/Cabling, or a related field, is required.
  • At least 7 years of experience in data center design, mission-critical infrastructure engineering, or white space design leadership is required.
  • Direct experience with data center white space infrastructure systems, including PDUs, RPPs, busways, branch circuits, hot aisle containment systems, remote CDUs, fan walls, and high-density cooling strategies is required.
  • Experience as a consulting engineer, design consultant, or owner's representative overseeing third-party design consultants is required.
  • Documented knowledge of low-voltage infrastructure systems, including structured cabling, ladder rack, cable tray systems, overhead conveyance, and network pathway coordination is required.
  • Experience reviewing and interpreting construction drawings, shop drawings, submittals, RFIs, and design change documentation is required.
  • Hands-on proficiency with engineering and project management tools such as AutoCAD, Revit, Bluebeam, Asana, Smartsheet, or equivalent platforms is required.
  • Working knowledge of data center design standards and industry guidelines, including TIA-942, BICSI, ASHRAE, NFPA, and Uptime Institute, is required.

Responsibilities

  • Develop and review white space layouts, infrastructure designs, specifications, details, and engineering documentation.
  • Support the development, maintenance, and continuous improvement of the White Space Basis of Design, technical standards, and reference designs.
  • Perform detailed technical reviews of high-density power distribution, liquid- and air-cooling systems, equipment layouts, containment systems, and low-voltage pathways.
  • Design and coordinate white space electrical systems, including PDUs, RPPs, busways, branch circuits, rack power distribution, grounding, and associated infrastructure.
  • Design and coordinate white space mechanical systems, including remote CDUs, liquid-cooling distribution, fan walls, hot aisle containment, and other high-density cooling solutions.
  • Review structured cabling systems, ladder rack, cable tray, overhead conveyance, and network pathways in coordination with Network Engineering.
  • Review construction drawings, shop drawings, equipment submittals, RFIs, design changes, and field conditions for compliance with project requirements and company standards.
  • Identify design gaps, constructability concerns, operational risks, and multidisciplinary conflicts, and develop practical solutions in collaboration with project stakeholders.
  • Provide technical direction and oversight to third-party design consultants to ensure their work meets project requirements, applicable codes, and company standards.
  • Support projects during construction, commissioning, and deployment by responding to technical questions and resolving field-related design issues.
  • Participate in design workshops, coordination meetings, constructability reviews, and lessons-learned sessions.
  • Apply lessons learned across projects to improve design quality, repeatability, speed, and scalability.
  • Provide technical guidance and mentorship to other engineers while contributing to the design organization.

Desired Qualifications

  • A Professional Engineer (PE), Registered Communications Distribution Designer (RCDD), or Project Management Professional (PMP) certification is preferred.
  • Experience supporting hyperscale, High-Performance Computing (HPC), or high-density compute environments is preferred.
  • Practical familiarity with capacity planning, scalability modeling, and design standardization is preferred.

About the Company

CoreWeave

Rents GPU cloud computing for AI developers

CoreWeave rents cloud computing to AI labs and businesses that train models and run them in production for research and commercial applications. Its platform combines NVIDIA graphics chips, storage, networking, and software built for demanding AI workloads across connected clusters scaled to fit each project. CoreWeave Forge connects tools for tracking experiments, testing models, and improving AI systems using feedback from production. Customers rent computing capacity through committed contracts or usage charges, while managed services handle the infrastructure needed to keep large workloads running. CoreWeave was founded in 2017 and is headquartered in Livingston, New Jersey.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Livingston, NJ
Founded
2017

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