Infrastructure Engineer (GPU & Compute)

What you'll do

• Own image management, provisioning, system bring-up, and validation workflows; run test clusters and qualify hardware.
• Diagnose GPU and system issues, analyze performance, and improve reliability and validation coverage.
• Build automation and operate Linux, virtualization, and bare-metal systems in collaboration with infrastructure, hardware, data center, platform, and ML teams.

What they ask for

• 5+ years of experience in infrastructure engineering, systems engineering, or related roles.
• Strong Linux systems experience in production environments and hands-on experience with GPU-enabled systems and tools such as NVIDIA DCGM.
• Familiarity with bare-metal provisioning and system bring-up workflows.
• Proficiency in Python or similar scripting/programming languages for automation; ability to debug issues across hardware, OS, GPUs, and system software.

Nice to have

• Experience with high-performance interconnects (e.g., InfiniBand, NVLink), PXE or image-based provisioning, and hardware management interfaces such as iDRAC, IPMI, or Redfish.
• Data center operations experience or experience supporting AI/ML or HPC workloads at scale; GPU validation or hardware qualification experience.

Pay

$180,000 — $220,000 USD (annual base salary)

Tools

Linux, NVIDIA DCGM, Python, InfiniBand, NVLink, PXE, IPMI, Redfish

AI focus

Supports and validates GPU infrastructure for AI/ML workloads; the posting also mentions using AI and automation to amplify impact.