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Open nowPosted 330 days ago

DevOps & Infrastructure Engineer (HPC/GPU)

hybridizer5 open roles

Where
International
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Your applicationOpen nowDevOps & Infrastructure Engineer (HPC/GPU)hybridizer · International

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This job: posted 330 days ago

The posting

Your Mission

You will own the infrastructure that powers our R&D and helps our customers deploy our technology on-premise. You will move beyond standard cloud DevOps into the world of High-Performance Computing (HPC).

  • Think: Design a robust CI/CD strategy that handles cross-platform compilation (Windows/Linux) and execution on specific hardware targets (NVIDIA A100, AMD MI250, Consumer GPUs). Architect solution templates for our customers who need to deploy Hybridizer-generated binaries on their own private clouds.
  • Implement: Set up and maintain Kubernetes clusters (both on-premise and cloud) with GPU Passthrough and Multi-Instance GPU (MIG) configurations. Develop GitHub Actions pipelines that seamlessly dispatch heavy test suites to self-hosted runners equipped with specific GPU accelerators. Configure DockerHub registries and secure container lifecycles for our compiler images.
  • Build: Hardware Tuning: Assemble and fine-tune physical servers. This includes managing PCIe topology, cooling profiles, and power constraints to ensure consistent benchmarking results. Driver Ecosystem: Manage the complex matrix of NVIDIA drivers, CUDA toolkits, and ROCm versions across our fleet, ensuring compatibility with our compiler’s output.

What You Bring to the Table

You are a DevOps engineer who loves hardware. You understand that "the cloud" is just someone else's computer, and sometimes you need to manage that computer yourself.

  • Core DevOps: Strong mastery of Docker and Kubernetes. You know how to write custom Helm charts and manage stateful sets.
  • GPU Infrastructure: You have hands-on experience with NVIDIA Container Toolkit or ROCm integration in containers. You understand concepts like PCIe passthrough, IOMMU groups, and GPU orchestration.
  • CI/CD Automation: Expert in GitHub Actions. You can write complex workflows with matrix strategies and self-hosted runners.
  • System Administration: You are comfortable with Linux kernel tuning, driver installation (dkms), and diagnosing hardware bottlenecks.
  • Customer Facing: You have the communication skills to assist clients. You can explain how to expose a GPU to a Docker container to a sysadmin who might not be an expert in HPC.
  • Adaptability: You are ready to work with a mix of consumer and data-center grade hardware (e.g., configuring a server with 4x RTX 5090s or managing a DGX station).
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