Power and Performance Validation Engineer, Annapurna Labs

About the role

Annapurna Labs, an AWS organization with development centers in the U.S. and Israel, builds custom silicon and software for AWS customers. Our team combines cloud-scale innovation with world-class expertise across silicon engineering, hardware design, verification, software, and operations to tackle technical challenges that have never been seen before. Join our Silicon Validation team to own power validation of next-generation machine learning accelerators that power AWS's cloud computing infrastructure.

Responsibilities

• 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.
• 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.
• Bridge multiple domains — from low-level power delivery and analog measurement to workload-driven power-performance trade-offs — to deliver exceptional results.
• Develop 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.
• Characterize peak power consumption and transient droop under real ML training workloads across PVT corners.
• Conduct hands-on power measurements and debug in the lab using DC power analyzers, current probes, high-bandwidth oscilloscopes, and VNA/TDR.
• Validate power management algorithms, DVFS transitions, thermal throttling, and power capping mechanisms on silicon.
• Correlate silicon power measurements against pre-silicon power models and drive model-to-silicon feedback with architecture teams.
• Build automated power regression frameworks, dashboards, and anomaly detection to track power across steppings at scale.
• Collaborate across power architecture, design, firmware, and software teams to triage power anomalies and drive root cause analysis to closure.
• Support production systems in AWS data centers and address power-related field issues as they arise.

Requirements

• 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
• Experience applying data analysis and visualization techniques to interpret power measurement data and drive optimization decisions

Qualifications

• Bachelor's degree in Electrical Engineering or a related field, or equivalent experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
• 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
• 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
• Experience applying data analysis and visualization techniques to interpret power measurement data and drive optimization decisions

Skills

• Strong programming skills
• Computer architecture fundamentals
• Understanding of how workload behavior drives dynamic power consumption
• Solid understanding of power architecture
• Experience with power measurement, PDN characterization, and power management firmware

Benefits

• Comprehensive benefits including medical, dental, vision, prescription, life insurance, AD&D insurance, EAP, mental health support, medical advice line, flexible spending accounts, adoption and surrogacy reimbursement coverage
• 401(k) matching
• Paid time off
• Parental leave

Pay

The base salary range for this position is $143,700.00 - $194,400.00 USD annually.

Schedule

Full-time