Systems Engineer

NscaleSeattle, WA
Onsite

About The Position

We are building next-generation AI infrastructure from the ground up. Our mission is to deliver highly performant, reliable, and scalable infrastructure purpose-built for large-scale AI training and inference. As a startup, we operate with urgency, ownership, and a bias toward action. We are assembling the foundational infrastructure that will power frontier AI workloads—and we’re looking for engineers who want to build it from zero to scale.

Requirements

  • 5–8+ years in infrastructure engineering, hardware deployment, or data center operations
  • Hands-on experience deploying server infrastructure in data center environments
  • Strong Linux systems knowledge
  • Experience troubleshooting distributed systems or infrastructure performance issues
  • Comfortable working onsite in data center environments as needed

Nice To Haves

  • Experience in AI/ML infrastructure or HPC environments
  • Familiarity with high-performance computing or distributed systems
  • Automation experience (Python, Ansible, Terraform, Bash)
  • Experience working in high-density data center environments

Responsibilities

  • Execute end-to-end bringup of infrastructure nodes and racks from installation to production readiness
  • Validate BIOS, BMC, and firmware configurations
  • Perform rack-level integration including power, cabling, and airflow validation
  • Support deployment and validation of high-performance infrastructure environments
  • Run infrastructure burn-in and validation testing
  • Validate node-to-node system performance across distributed environments
  • Troubleshoot hardware, firmware, and infrastructure-level issues
  • Assist with system reliability and performance optimization
  • Contribute to automation for provisioning and infrastructure validation
  • Improve deployment playbooks and operational documentation
  • Identify reliability issues early and drive corrective actions
  • Help turn manual deployment processes into repeatable systems
  • Work closely with infrastructure, networking, systems software, and data center teams
  • Coordinate with hardware vendors to resolve deployment or system issues
  • Support rapid infrastructure expansion as capacity grows
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