Note: The job is a remote job and is open to candidates in USA. Axiom Recruit is partnering with a rapidly scaling technology business that is building advanced compute infrastructure for next-generation AI systems. They are seeking a Principal GPU Infrastructure Engineer to design and operate large-scale GPU environments supporting demanding enterprise-grade workloads across high-performance compute platforms.

Responsibilities

• Own the lifecycle management of large-scale GPU infrastructure, from provisioning and firmware validation through to operational reliability
• Lead operations across high-density, liquid-cooled compute environments supporting next-generation AI workloads
• Build automated observability and remediation systems using Prometheus, Grafana, NVIDIA DCGM, and infrastructure automation tooling
• Drive NetBox DCIM integration, asset management, IPAM, and infrastructure compliance across complex compute environments
• Act as a senior technical lead for infrastructure operations, incident response, vendor management, and enterprise-level infrastructure support

Skills

• Strong experience managing large-scale GPU, HPC, or high-performance compute infrastructure
• Deep hands-on expertise with NVIDIA GPU systems, including H200, B200, or B300 environments
• Advanced knowledge of InfiniBand, NVLink, NVSwitch, and high-throughput networking architectures
• Strong Linux systems engineering background with infrastructure automation using Python or Go
• Experience with observability and monitoring tooling including Prometheus, Grafana, NVIDIA DCGM, and SNMP
• Proven experience across bare-metal provisioning, infrastructure lifecycle management, and automated/self-healing systems
• Experience with liquid-cooled or high-density compute environments
• Familiarity with NVIDIA Mission Control and GPU cluster management
• Exposure to confidential compute technologies and attestation workflows
• Experience building infrastructure standards in fast-scaling environments

Benefits

• Competitive salary and benefits package
• Opportunity to build next-generation AI infrastructure
• Exposure to cutting-edge GPU and HPC environments
• Strong ownership across infrastructure and automation
• Engineering-led culture working on mission-critical systems

Company Overview