Platform Product Reliability

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 Platform Product Reliability Engineer 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

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

• 5+ 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

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

• Medical, dental, and vision packages with generous premium coverage

• $500 per month credit for waiving medical benefits

How we’re different

Etched believes in the Bitter Lesson. We are the first inference-focused frontier AI system. Our addressable market is the entirety of inference, unlike many of our competitors.

We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.