About the job
Join our Silicon Validation team to own power validation of next-generation machine learning accelerators that power AWS's cloud computing infrastructure. You'll work in a fast-paced, startup-like environment alongside some of the brightest minds in the industry on advanced, internet-scale technology that directly impacts how customers use Machine Learning acceleration. We are changing the landscape of cloud infrastructure by accelerating the development of custom silicon by moving beyond traditional partnerships to dominate in AI training and inference.
Responsibilities
- 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
Qualifications
Minimum
- 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
Preferred
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience with power integrity simulation tools (ANSYS RedHawk, Cadence Voltus) and pre-silicon to post-silicon power model correlation
- Experience with Machine Learning Hardware/Software Architecture
- Experience with CI/CD
- Knowledge of voltage regulator design and tuning (adaptive voltage positioning, load-line optimization, multi-phase converters)
- Experience validating power management firmware on custom ASIC/SoC platforms