Power Validation Engineer

About the Company

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.

Responsibilities

• Design and execute power measurement campaigns across all voltage rails under realistic LLM inference workloads
• Validate power delivery network (PDN) performance including VRM load step response and PCIe power compliance
• Profile power transient events and correlate them with on-die performance monitor data
• Run extended stress workloads to surface reliability risks and throttling behavior
• Validate power sequencing, PMBus telemetry accuracy, and BMC alert thresholds
• Feed characterization data back to RTL and physical design teams for DVFS policy and leakage optimization
• Lead electrical characterization and qualification for the on-board system-level power distribution network
• Provide debug, component validation, and failure analysis for released products
• Develop automated and scripted test procedures for Devices Under Test (DUTs)
• Collect and analyze test data to support data-driven engineering decisions

Requirements

• Bachelor’s degree in Electrical Engineering or a related field
• Deep understanding of ASIC and system-level power delivery (VRM topology, PDN impedance, decoupling strategy)
• Hands-on bench experience with precision shunts, isolated differential probes, and VNA-based PDN impedance measurement
• Expertise with multi-phase solutions with high dynamic content
• Experience with VR tuning to ensure specifications meet CPU/ASIC requirements
• Ability to design experiments to isolate root causes in complex hardware-software stacks
• Strong oscilloscope and lab instrument fluency
• Relevant experience with Silicon bring ups

Preferred Qualifications

• Masters Degree in Power Electronics
• Experience with high voltage testing (800V and higher)
• Prior power validation work on AI accelerators, GPUs, or high-performance server platforms
• Experience with OpenBMC, IPMI, or custom BMC firmware
• Familiarity with LLM inference stacks (vLLM, TensorRT-LLM)
• Proficiency in Python for test automation and data pipeline construction