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CoreWeave

Rents GPU cloud computing for AI developers

DPU Datapath Engineer - Validation & Automation

Test Automation EngineeringUpdated on Nov 13
Full-timeWarsaw, PolandIn-person

About the Job

Requirements

  • At least 7 years of professional engineering experience in networking, systems, or cloud infrastructure, with a deep focus on dataplane technologies and production operations.
  • Hands-on engineering experience with NVIDIA DPUs, such as BlueField platforms, in large-scale deployments, including firmware/software lifecycle and hardware-offload pipelines.
  • Strong knowledge of Open vSwitch configuration and pipelines, including bridges, flows, and hardware offloads.
  • A technical background in cloud networking infrastructure, including VPCs, routing, security policies, and overlay/underlay networking topologies.
  • Ability to build testing, simulation, and automation frameworks from scratch using Python, Golang, or similar systems languages.
  • High proficiency in network observability, low-level benchmarking, and production troubleshooting using tools such as tcpdump, iproute2, and perf.
  • Communication and technical leadership skills, with a track record of driving technical direction and mentoring engineers.

Responsibilities

  • Lead a local team driving test strategy and automation execution for the OVS-based datapath and related control-plane components.
  • Partner with DPU, networking, and platform engineering groups to make dataplane validation a reliable, repeatable service that gates production releases.
  • Design automation to orchestrate DPU/host configurations and OVS pipelines.
  • Integrate test beds into CI/CD pipelines.
  • Validate regression, functionality, and scalability for NVIDIA software releases.
  • Influence the long-term architecture of DPU datapath and control-plane designs for maximum testability.
  • Participate in rotating on-call structures.
  • Work directly with strategic vendors such as NVIDIA on escalations and hardware feature validation.

Desired Qualifications

  • Direct experience validating and operating NVIDIA DPU, DOCA, or HBN stacks within a hyperscale or cloud provider environment.
  • Prior technical work on system-level validation for network switches, smartNICs, or specialized DPUs.
  • Experience with Kubernetes-based environments and integrating DPUs directly into bare-metal node lifecycles.
  • Active open-source or production code contributions to projects such as P4, OVS, DPDK, or DOCA libraries.

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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