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CoreWeave

Rents GPU cloud computing for AI developers

Hardware Engineer - GPU 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 4 years of professional experience in hardware, infrastructure, systems, or platform engineering roles in data centre, cloud, or high-performance computing environments.
  • At least 2 years of hands-on experience supporting and troubleshooting data centre-class GPUs, H100 or newer, including InfiniBand and NVLink.
  • In-depth knowledge of server hardware, components, and management technologies, particularly GPUs and PCIe devices.
  • Proficiency in Python or Ansible, with experience programmatically interacting with server baseboard management controllers using Redfish or IPMI; Redfish is preferred.
  • Hands-on experience integrating and automating data centre GPU diagnostics and troubleshooting tools, and using observability platforms such as Prometheus and Grafana.
  • Experience collaborating with hardware vendors to identify novel issues, create operational playbooks, and drive return merchandise authorizations to resolution.
  • Experience supporting production infrastructure, driving incident escalations through root-cause resolution, and participating in on-call rotations.
  • Technical documentation skills and analytical problem-solving skills.
  • Fluency in written and spoken English.

Responsibilities

  • Own GPU and interconnect health across the fleet, combining hands-on engineering with operational support.
  • Automate GPU diagnostics, develop monitoring and alerting systems, and build playbooks to make GPU and PCIe failures detectable and actionable.
  • Partner with data centre operations teams, server original equipment manufacturers, and vendors such as NVIDIA to lead root-cause analysis across hardware, firmware, drivers, and PCIe topologies and drive long-term fixes.
  • Serve as the regional escalation point for GPU issues across EMEA and APAC.
  • Support new region bring-ups.
  • Participate in an on-call rotation.
  • Feed operational insights back into automation and platform design.

Desired Qualifications

  • Experience bringing up new data centre regions or operating within customer- or partner-owned facility infrastructure.
  • Familiarity with rack-scale GPU platforms such as NVIDIA GB200 and GB300, including NVLink, NVSwitch, and InfiniBand fabrics.
  • Experience with NVIDIA diagnostic tooling, GPU driver and firmware lifecycle management, and fleet-scale baseboard management controller interfaces such as Redfish and IPMI.
  • Strong Linux systems administration and kernel-level debugging skills at fleet scale, including PCIe enumeration.
  • Familiarity with Kubernetes-based services 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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