# Hardware Engineer, GPU Infrastructure at CoreWeave Europe

> Poland · Unspecified · DevOps / SRE / Infra · open. Source: https://alderhq.app/jobs/greenhouse%3Acoreweaveu%3A4709412006 (read 2026-11-15).

## Facts (observed)

- Company: [CoreWeave Europe](https://alderhq.app/companies/coreweave-europe)
- Location text: Warsaw, Poland; Warsaw
- Where it can be done from (inferred): Poland (evidence: "Location: Warsaw, Poland; Warsaw")
- Posted: 2026-09-03 (73 days ago)
- First seen by alder: 2026-11-04 · last verified: 2026-11-13
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://coreweave.com/careers/job?4709412006&board=coreweaveu&gh_jid=4709412006
- Skills listed (inferred): Python, Kubernetes

## Pay and sponsorship

- Posted pay: not posted

## Description (the employer's text)

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.

We're proud to be a Living Wage accredited Employer.

### What You'll Do

The Warsaw team is CoreWeave's EMEA hub for Hardware Compute, focusing primarily on CoreWeave Omni—our model for deploying and operating the CoreWeave Cloud Platform inside customer- and partner-owned data centres. We build, scale, and maintain the infrastructure behind high-density GPU systems, where GPU health, diagnostics, and interconnect telemetry are first-class engineering challenges across diverse hardware platforms and vendor configurations.

### About the role

As a Hardware Engineer, GPU Infrastructure, you will own GPU and interconnect health across the fleet, combining hands-on engineering with operational support. You will automate GPU diagnostics, develop monitoring and alerting systems, and build playbooks to make GPU and PCIe failures detectable and actionable. Partnering with data centre operations teams, server OEMs, and vendors such as NVIDIA, you will lead deep root-cause analysis across hardware, firmware, drivers, and PCIe topologies to drive long-term fixes. Additionally, you will serve as the regional escalation point for GPU issues across EMEA and APAC, support new region bring-ups, participate in an on-call rotation, and feed operational insights back into automation and platform design.

### Who You Are

- Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
- 4+ years of professional experience in hardware, infrastructure, systems, or platform engineering roles within data centre, cloud, or high-performance computing environments.
- 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 BMCs using Redfish or IPMI (Redfish preferred).
- Hands-on experience integrating and automating data centre GPU diagnostics, troubleshooting tools, and observability platforms (e.g., Prometheus, Grafana).
- Demonstrated experience collaborating with hardware vendors to identify novel issues, create operational playbooks, and drive RMAs to resolution.
- Proven experience supporting production infrastructure, driving incident escalations through to root-cause resolution, and participating in on-call rotations.
- Excellent technical documentation, analytical problem-solving skills, and fluency in written and spoken English.
### Preferred

- Experience bringing up new data centre regions or operating within customer/partner-owned facility infrastructure.
- Familiarity with rack-scale GPU platforms (e.g., NVIDIA GB200 / GB300), including NVLink, NVSwitch, and InfiniBand fabrics.
- Experience with NVIDIA diagnostic tooling, GPU driver and firmware lifecycle management, and fleet-scale BMC management interfaces (Redfish/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.
### Wondering if you're a good fit?

We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams—even if you aren't a 100% skill or experience match.

- You love to: Solve complex technical challenges at the boundary of hardware, firmware, and software while automating GPU diagnostic workflows.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Acoreweaveu%3A4709412006 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.