Head of Platform Product Reliability (AI Infrastructure)

Location: On-site in San Jose, California, United States. Relocation support is available for candidates moving to San Jose.

Company

hirify.global builds inference-focused frontier AI hardware by co-designing chips, racks, software, and manufacturing systems.

What you will do

• Define end-to-end reliability strategy for AI servers, accelerator platforms, rack systems, and datacenter infrastructure from architecture through fleet deployment.
• Establish qualification standards, validation methodologies, EVT/DVT/PVT gates, accelerated life and stress testing, and environmental testing programs.
• Lead root-cause investigations and corrective actions across hardware, firmware, thermal, mechanical, manufacturing, and field-deployment domains.
• Develop MTBF projections, FIT rate analysis, Weibull lifetime models, component derating methods, and reliability growth tracking.
• Build fleet telemetry pipelines, field feedback loops, and monitoring frameworks for deployed system health.
• Lead reliability signoff and release-readiness reviews while building and managing the product reliability engineering organization.

Requirements

• BS, MS, or PhD in Electrical Engineering, Mechanical Engineering, Reliability Engineering, or a related technical field.
• 10+ years of reliability engineering experience in hardware-centric organizations, including complex system-level work.
• Experience leading reliability programs for AI accelerators, GPU-class compute systems, hyperscale or cloud servers, networking, storage, or rack-scale infrastructure.
• Deep understanding of thermal, power delivery, mechanical, connector, and interconnect failure mechanisms.
• Hands-on experience with FMEA, Weibull analysis, HALT/HASS, qualification planning, failure analysis, reliability statistics, and modeling.
• Strong technical judgment and communication skills for influencing engineering, program, and executive stakeholders.

Nice to have

• Experience with liquid-cooled systems, high-density power delivery, or thermal management for high-power AI infrastructure.
• Experience supporting hyperscale or cloud datacenter deployments, customer-facing reliability commitments, and SLA management.
• Experience building reliability organizations, processes, tooling, and team norms from an early stage.
• Experience with fleet telemetry, large-scale field reliability analytics, ODM/JDM partnerships in Taiwan or Asia, or GPU and high-speed digital systems.

Culture & Benefits

• Fully in-person work in San Jose with close collaboration across engineering, research, manufacturing, supply chain, and datacenter operations.
• Medical, dental, and vision coverage, plus a $500 monthly credit for waiving medical benefits.
• $2,000 monthly housing subsidy for employees living within walking distance of the office.
• Relocation support for moving to San Jose, wellness benefits, and daily lunch and dinner at the office.
• Unlimited compute budget subject to ROI justification.