Platform Product Reliability Engineer (AI Infrastructure)

Location: On-site in San Jose, United States. The team is fully in-person at the San Jose office. Relocation support is available for candidates moving to San Jose.

Company

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

What you will do

• Define end-to-end reliability strategies for AI servers, accelerator platforms, rack systems, and datacenter infrastructure.
• Establish qualification standards, validation methodologies, and lifecycle reliability processes across product generations.
• Lead accelerated life and stress testing, environmental testing, HALT/HASS programs, power and thermal cycling, and transportation stress testing.
• Drive root-cause investigations and corrective actions across hardware, firmware, thermal, mechanical, manufacturing, and field-deployment domains.
• Develop MTBF, FIT rate, Weibull lifetime, component derating, and reliability growth models.
• Build fleet telemetry pipelines, field feedback loops, release-readiness criteria, and a product reliability engineering organization.

Requirements

• BS, MS, or PhD in Electrical Engineering, Mechanical Engineering, Reliability Engineering, or a related technical field.
• 5+ 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 platforms, storage systems, or rack-scale infrastructure.
• Strong 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 reliability commitments, or SLA management.
• Experience building reliability organizations, processes, tooling, and team practices from an early stage.
• Familiarity with fleet telemetry, large-scale field reliability analytics, ODM/JDM partnerships, NPI, or on-site qualification work in Asia.
• Background in high-speed digital systems, GPU compute platforms, or accelerator architectures.

Culture & Benefits

• Fully in-person engineering environment with collaboration across engineering and research disciplines.
• Medical, dental, and vision coverage with substantial premium support.
• $500 monthly credit for waiving medical benefits.
• $2,500 monthly housing subsidy for eligible employees living within walking distance of the office.
• Wellness benefits, daily office lunch and dinner, and an unlimited compute budget subject to ROI justification.