Infrastructure Hardware Technical Program Manager (Server and Network Systems)

Location: US and Canada offices

Company

hirify.global builds large-scale AI hardware and software platforms designed to deliver faster model training and inference than GPU-based systems.

What you will do

• Own end-to-end delivery of server and network platform programs for hirify.global CS-3-based AI clusters, including new platforms, refreshes, and major configuration changes.
• Gather requirements and create integrated plans with milestones, readiness gates, dependencies, risks, and cross-functional deliverables.
• Manage OEM/ODM partners, switch vendors, component suppliers, RFIs/RFPs, samples, escalations, and roadmap alignment.
• Translate architectural decisions into qualification plans, acceptance criteria, release-readiness reviews, and rollout strategies.
• Lead lab and staging validation, regression tracking, go/no-go decisions, production change management, and rollout sequencing.
• Coordinate operational readiness with deployment and fleet teams while aligning server and network changes with rack and physical data center constraints.

Requirements

• Bachelor’s or master’s degree in Computer Science, Electrical Engineering, Computer Engineering, or equivalent experience.
• 8+ years of technical program management or delivery leadership experience for server, network, or infrastructure platforms from concept through production.
• Experience coordinating server or data center network programs across OEM/ODM partners, switch vendors, and internal engineering teams.
• Working knowledge of server architecture, including CPU/NUMA, memory bandwidth, PCIe, NICs, storage I/O, and networking fundamentals such as leaf-spine fabrics and high-performance interconnects.
• Familiarity with Linux server fleet management, provisioning, firmware/BIOS, drivers, and field triage.
• Strong multi-team execution, risk management, dependency tracking, ambiguity management, and executive communication skills.

Nice to have

• Experience with AI/ML, HPC, or performance-sensitive distributed infrastructure.

Culture & Benefits

• Work on a large-scale AI platform designed beyond traditional GPU constraints.
• Opportunities to publish and open-source AI research.
• Work with one of the fastest AI supercomputers in the world.
• Startup vitality combined with job stability.
• Simple, non-corporate culture with respect for individual beliefs, continuous learning, and professional growth.