Power and Performance Validation Engineer, Annapurna Labs

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 AWSs cloud computing infrastructure. Youll 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.

Your work will span power validation across the complete vertical stack silicon power domains DVFS flows power delivery networks dynamic workload power profiling and system-level power budgeting. Youll validate power management schemes characterize peak power and di/dt transient behavior and close the loop between pre-silicon power models and silicon reality. Your measurements directly determine operating envelopes influence architectural trade-offs and define when silicon is ready for production deployment at AWS data center scale.

Key job responsibilities
As a Power Validation Engineer on our Machine Learning Acceleration team youll 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. Youll 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. This role requires bridging multiple domains from low-level power delivery and analog measurement to workload-driven power-performance trade-offs to deliver exceptional results.

We are looking for candidates with strong programming skills computer architecture fundamentals understanding of how workload behavior drives dynamic power consumption a solid understanding of power architecture as well as experience with power measurement PDN characterization and power management firmware.

A day in the life
- 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

- 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
- Bachelors 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

- 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

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The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at TX Austin - 143700.00 - 194400.00 USD annually