Technical Lead (AI Infrastructure)

Location: New York, United States; work is on-site.

Salary: $270,000–$330,000 per year

Company

hirify.global is building an AI infrastructure layer and a high-performance serverless platform for running functions, sandboxes, and training jobs.

What you will do

• Lead 3–8 engineers building and operating the machines layer of the serverless platform.
• Own the full machine lifecycle, including hardware onboarding, network bring-up, kernel and image management, GPU and disk health tracking, and automated remediation.
• Design control-plane services for provisioning, monitoring, repairing, and managing bare-metal and cloud hosts.
• Automate integration, acceptance testing, and benchmarking of CPU, GPU, storage, interconnect, and network hardware.
• Standardize network configuration and monitor reliability across multiple datacenters.
• Set technical direction and remain hands-on while participating in the on-call rotation and responding to production incidents.

Requirements

• 7+ years of experience writing high-quality production code.
• 3+ years of direct people-management experience, ideally leading engineering teams through planning, growth, and performance conversations.
• Experience operating large-scale physical hardware fleets or building control planes that manage them, including bare-metal provisioning, BMC/IPMI, PXE, network boot, and firmware.
• Strong cloud skills and knowledge of low-level operating-system foundations, including the Linux kernel, drivers, networking, file systems, and containers.
• Experience working with hardware and colocation providers, including hardware acceptance testing and benchmarking.
• Experience with GPUs and the NVIDIA software stack in production, plus prior experience with Go.

Nice to have

• Experience with GPU health monitoring, RDMA, and NVLink.
• Experience designing automatic remediation for power cycling, reimaging, and GPU recovery.
• Experience managing heterogeneous CPU, GPU, storage, and network hardware across many datacenters.

Culture & Benefits

• Hands-on engineering role with ownership across hardware, operating systems, networking, and distributed services.
• Participation in an on-call rotation supporting production reliability.
• Opportunity to shape the long-term infrastructure direction of an AI platform.