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CoreWeave

Rents GPU cloud computing for AI developers

Senior Systems Engineer

Systems Software EngineeringUpdated on Nov 13
Full-timeIn-person

About the Job

Requirements

  • At least 3 years of experience building test infrastructure, systems software, or platform tooling at scale, with ownership of frameworks or automation for low-level software.
  • Fluency in Python and either proven Rust experience or a strong systems background in Go, C, or C++, with willingness to build in Rust.
  • Comfort operating in a Kubernetes environment and reasoning about how software is built, containerized, deployed, and tested.
  • A solid Linux systems background, including the boot chain, kernel and drivers, and low-level debugging, with comfort working close to hardware.
  • Experience building automation that proves systems work, and a strong understanding of flakiness, hermeticity, and test signal.

Responsibilities

  • Own and extend the test framework that pins to a real host, boots the configuration under test, runs and validates a containerized check, and records a structured result.
  • Broaden framework qualification to cover HPC and fabric verification, Slurm-on-Kubernetes (SUNK), firmware, and hardware, and build abstractions that make new coverage easy to add.
  • Keep the pipeline fast, hermetic, and trustworthy through boot consistency, per-host resource locking, and flaky-test elimination.
  • Own the results and reporting path end to end, including structured test results, storage, dashboards, and triage surfaces that help engineers identify root causes.
  • Explore AI-native testing, including LLM-driven log triage, failure classification, and regression detection.
  • Collaborate with firmware, kernel, imaging, and HPC teams to embed testing into their release processes.

Desired Qualifications

  • Experience with Rust and Kubernetes-native workflow orchestration such as Argo Workflows.
  • HPC or large-cluster experience, including InfiniBand/RoCE, GPU/accelerator validation, or performance-regression frameworks.
  • Experience with Slurm or Slurm-on-Kubernetes (SUNK).
  • Firmware or lower-level hardware validation experience.
  • Experience applying LLMs to test workflows such as triage, failure classification, or flaky-test detection.
  • Contributions to open-source test frameworks, Rust crates, or systems projects.

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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