Power & Performance Validation Engineer (ML Accelerators)

Amazon; Austin (TX); On-site; USD 144,000 - 194,000; Full time

Job summary

Amazon’s Annapurna Labs seeks a Power Validation Engineer to own power-domain validation for ML accelerators across the product lifecycle. You will work with power architecture, RTL design, firmware, and software to meet power targets and efficiency goals in AWS data centers.

The role involves developing test plans for DVFS, peak power, and di/dt, plus hands‑on measurements using oscilloscopes, probes, and power analyzers. Join a fast‑paced, startup‑like environment with impact at cloud scale.

Qualifications

• 3+ years of non‑internship professional software development experience.
• 2+ years of non‑internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience.
• Bachelor's degree in Electrical Engineering or a related field, or experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby.
• 3+ years of hands‑on experience in power characterization, power delivery validation, or power architecture verification for high‑performance digital systems.
• Strong understanding of DVFS flows, power control schemes, peak power management, and di/dt handling techniques.
• Proficiency with power measurement instrumentation: DC power analyzers, current probes, high‑bandwidth oscilloscopes, and VNA/TDR for PDN impedance characterization.

Responsibilities

• As a Power Validation Engineer on our Machine Learning Acceleration team, you'll own power‑domain validation across the entire product development lifecycle — from early design validation through emulation, silicon bring‑up, post‑silicon characterization, and ongoing support of production systems deployed in AWS data centers.
• You'll collaborate deeply with power architecture, RTL design, design verification, firmware, and software teams to ensure our next‑generation AI/ML accelerators meet power targets and efficiency goals.
• Developing comprehensive power validation strategies and detailed test plans covering sequencing, DVFS, peak power, di/dt, and stress testing from silicon bring‑up to product release.
• Characterizing peak power consumption and transient droop under real ML training workloads across PVT corners.
• Conducting hands‑on power measurements and debug in the lab using DC power analyzers, current probes, high‑bandwidth oscilloscopes, and VNA/TDR.
• Validating power management algorithms, DVFS transitions, thermal throttling, and power capping mechanisms on silicon.
• Correlating silicon power measurements against pre‑silicon power models and driving model‑to‑silicon feedback with architecture teams.
• Building automated power regression frameworks, dashboards, and anomaly detection to track power across steppings at scale.
• Collaborating across power architecture, design, firmware, and software teams to triage power anomalies and drive root cause analysis to closure.
• Supporting production systems in AWS data centers and addressing power‑related field issues as they arise.

Skills

Software development

Systems design

Power characterization

DVFS knowledge

Data analysis

Education

Bachelor's degree in Electrical Engineering

Tools

DC power analyzers

Current probes

Oscilloscopes

VNA/TDR

Job description

Amazon’s Annapurna Labs seeks a Power Validation Engineer to own power-domain validation for ML accelerators across the product lifecycle. You will work with power architecture, RTL design, firmware, and software to meet power targets and efficiency goals in AWS data centers.

The role involves developing test plans for DVFS, peak power, and di/dt, plus hands‑on measurements using oscilloscopes, probes, and power analyzers. Join a fast‑paced, startup‑like environment with impact at cloud scale.