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CoreWeave

Rents GPU cloud computing for AI developers

Hardware Engineer - Server Infrastructure

Hardware Systems IntegrationUpdated on Nov 13
Full-timeWarsaw, PolandIn-person

About the Job

Requirements

  • A Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
  • At least 5 years of professional experience in hardware, infrastructure, systems, or platform engineering roles within data centre, cloud, or high-performance computing environments.
  • Deep understanding of server hardware, components, and fleet management technologies.
  • Proficiency in Python or Ansible and hands-on experience programmatically interacting with server baseboard management controllers using Redfish or IPMI; Redfish is preferred.
  • Demonstrated experience collaborating with hardware vendors and original equipment manufacturers to evaluate, qualify, and deploy server solutions.
  • Proven experience supporting production infrastructure, driving incident escalations through root-cause resolution, and participating in on-call rotations.
  • Fluency in written and spoken English.

Responsibilities

  • Own server hardware across its lifecycle, from provisioning through decommissioning, balancing hands-on engineering with operational support.
  • Automate hardware and firmware lifecycle management services, build monitoring and alerting systems, and lead qualification and bring-up for new server platforms.
  • Partner with data centre operations teams, server vendors, and original equipment manufacturers to perform root-cause analysis on hardware and firmware failures, drive long-term resolution, and manage return merchandise authorizations.
  • Serve as the senior point of contact for hardware escalations across EMEA and APAC.
  • Support new region bring-ups, participate in an on-call rotation, and feed operational insights into system automation and platform design.

Desired Qualifications

  • Experience bringing up new data centre regions or operating within customer- or partner-owned facility infrastructure.
  • Familiarity with graphics processing unit platforms and rack-scale systems, such as NVIDIA GB200 or GB300.
  • Experience with baseboard management controller technologies, firmware lifecycle management, and fleet-scale hardware qualification programmes.
  • Strong Linux systems administration and debugging skills at fleet scale.
  • Familiarity with Kubernetes-based services, observability tools such as Prometheus and Grafana, and distributed production environments.

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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