Compute / Server Platform Architect (AI)

Location: US and Canada offices

Company

hirify.global builds AI accelerator hardware and CS3-based systems for high-speed model training and inference.

What you will do

• Own the architecture, configurations, server roles, and lifecycle strategy for hirify.global AI clusters.
• Define server formulas, capacity plans, scaling ratios, and headroom policies for different cluster sizes and workloads.
• Specify CPU, memory, PCIe, NIC, NVMe, OS, BIOS, firmware, and driver configurations.
• Translate software and runtime behavior into measurable hardware requirements and communicate technical guardrails to software teams.
• Build performance and scaling models, run benchmarks and workload experiments, and drive cross-stack bottleneck resolution.
• Lead vendor evaluations, platform qualification, production adoption, and root-cause analysis for hardware and software regressions.

Requirements

• PhD in Computer Science or Electrical/Computer Engineering with 8+ years of industry experience, or a bachelor's/master's degree in CS or EE with 10+ years of industry experience.
• 5+ years of experience in server platform architecture, systems performance engineering, or large-scale infrastructure design for AI/ML, HPC, or performance-sensitive distributed systems.
• Deep knowledge of x86 server architecture, CPU microarchitecture, cache hierarchies, NUMA, memory controllers, and memory bandwidth and latency tradeoffs.
• Strong Linux systems knowledge, including profiling, performance analysis, scheduling, syscall overhead, memory management, and tuning.
• Experience with high-performance IO, NIC behavior, RDMA/RoCE, NVMe, capacity modeling, and rigorous benchmarking.
• Ability to work with vendors and cross-functional teams, document tradeoffs, and drive technical decisions; familiarity with C, C++, and Python.

Culture & Benefits

• Work on an AI platform designed to extend beyond GPU limitations.
• Opportunity to contribute to AI research, model releases, and open-source projects.
• Work with one of the fastest AI supercomputers in the world.
• Combination of startup vitality and job stability.
• Non-corporate culture focused on individual beliefs, learning, growth, and inclusion.