Etched.ai is an AI infrastructure company building rack-scale and frontier inference systems.
About Etched Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary We are seeking a highly technical and execution-focused Head of Platform Product Reliability to lead reliability engineering across Etched's server, rack, and datacenter platform products. This role owns system-level product reliability from architecture through fleet deployment. You will define reliability strategy, qualification methodologies, accelerated stress testing programs, failure analysis processes, and long-term reliability standards for complex AI infrastructure systems. This team focuses specifically on product reliability engineering for platform hardware and deployed systems — ensuring every Etched product ships with the reliability profile that enterprise and hyperscale customers demand. You will work cross-functionally with Platform Engineering, Mechanical Engineering, Thermal, Firmware, Manufacturing, Supply Chain, Datacenter Operations, and Program teams to ensure Etched products achieve exceptional reliability at scale. Key Responsibilities - Define and own the end-to-end reliability strategy for AI servers, accelerator platforms, rack systems, and datacenter infrastructure, from design requirements through field deployment - Establish reliability requirements, qualification standards, and validation methodologies that scale across product generations - Build and institutionalize reliability engineering processes spanning the full product lifecycle: - EVT / DVT / PVT qualification gates and exit criteria - Accelerated life testing (ALT) and accelerated stress testing (AST) - Environmental testing: temperature, humidity, altitude, contamination - HALT / HASS programs for design margin and production screening - Vibration, shock, and transportation stress testing - Power cycling, thermal cycling, and long-duration soak testing - Lead root-cause investigations for reliability failures surfaced during development, manufacturing, and field deployment, driving corrective actions across hardware, firmware, thermal, and mechanical domains - Develop comprehensive system reliability models including MTBF projections, FIT rate analysis, Weibull lifetime modeling, component derating methodologies, and reliability growth tracking - Ensure reliability is considered early, partnering with Platform Engineering architects and design leads so reliability requirements shape decisions before they become expensive to change - Work closely with ODMs, JDMs, contract manufacturers, and component suppliers to validate and enforce long-term platform reliability commitments - Build fleet reliability infrastructure: telemetry analysis pipelines, field feedback loops, and monitoring frameworks that give Etched visibility into deployed system health at scale - Drive reliability signoff criteria and lead product release readiness reviews across engineering and program teams - Build and lead a high-performing product reliability engineering organization — hiring, developing, and retaining technical talent as the company scales You may be a good fit if you have (Must-have qualifications) - 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, with meaningful time spent on complex systems rather than component-level work - Experience leading reliability programs for one or more of: - AI accelerator or GPU-class compute systems - Hyperscale or cloud server infrastructure - Networking platforms, storage systems, or rack-scale infrastructure - Deep understanding of system-level failure mechanisms — including thermal, power delivery, mechanical, and connector/interconnect failure modes — and how design decisions affect long-term field reliability - Hands-on experience with FMEA, Weibull analysis, HALT/HASS, qualification planning, failure analysis methodologies, and reliability statistics and modeling - A track record of driving cross-functional root-cause investigations in fast-moving hardware organizations where schedule pressure is real and accountability is high - Strong technical judgment — capable of making defensible tradeoffs between reliability targets, cost, schedule, and performance without losing sight of customer expectations - Excellent communication skills and the credibility to influence design decisions with engineering leads, program managers, and executive stakeholders Strong candidates may also have experience with (Nice-to-have qualifications) - Experience with liquid-cooled systems, high-density power delivery, or thermal management for high-power AI infrastructure - Direct experience supporting hyperscale or cloud datacenter deployments at scale, including customer-facing reliability commitments and SLA management - Demonstrated experience building a reliability organization from early-stage — establishing processes, tooling, and team norms in environments without established infrastructure - Familiarity with fleet telemetry systems, large-scale field reliability analytics, and data-driven approaches to proactive reliability management - Experience working closely with ODM or JDM partners in Taiwan or broader Asia, including NPI support and on-site qualification engagement - Background in high-speed digital systems, GPU compute platforms, or accelerator-based architectures — with an understanding of how these affect system-level reliability behavior Benefits