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CoreWeave

Rents GPU cloud computing for AI developers

Hardware Engineer - Liquid Cooling

Hardware Systems IntegrationUpdated on Nov 13
Full-timeIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
  • At least 4 years of professional experience in hardware, infrastructure, thermal, or platform engineering roles in data center, cloud, or high-performance computing environments.
  • Strong understanding of data center thermal design principles, coolant types, thermal transfer mechanisms, and leak detection methods.
  • In-depth knowledge of server hardware, components, and fleet management technologies.
  • Proficiency in Python or Ansible, with experience programmatically interacting with hardware using Redfish, IPMI, or SSH; Redfish is preferred.
  • Demonstrated experience supporting production infrastructure, driving incident escalations through root-cause resolution, and participating in on-call rotations.
  • Technical documentation, analytical problem-solving, and written and verbal communication skills.

Responsibilities

  • Own liquid cooling infrastructure from the rack to the facility interface, balancing hands-on engineering with operational support.
  • Automate the liquid cooling hardware lifecycle, develop hardware and firmware management services, and build monitoring, alerting, and control systems for pumps, valves, and flow and temperature sensors.
  • Work with data center facilities teams, server original equipment manufacturers, and cooling vendors to qualify new platforms and resolve return material authorization and quality issues.
  • Troubleshoot live production thermal events through root-cause resolution.
  • Serve as an escalation point for liquid cooling and thermal issues across deployments and participate in an on-call rotation.
  • Feed operational insights back into platform automation and design improvements.

Desired Qualifications

  • Hands-on experience with in-rack coolant distribution units, liquid-to-air heat exchangers, or remote cooling units.
  • Experience bringing up new data center regions or deploying liquid cooling infrastructure at scale.
  • Familiarity with rack-scale liquid-cooled platforms such as NVIDIA GB200 or GB300, and coolant distribution unit vendor management interfaces.
  • Experience with baseboard management controller technologies, Kubernetes-based services, and observability tools such as Prometheus and Grafana.
  • Familiarity with facility-side systems, including chilled water plants, computer room air handlers, and Building Management Systems.

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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