Amazon Web Services (AWS)
Senior Power Architect, Annapurna Labs, ML Acceleration Power Architecture
Amazon Web Services (AWS), Seattle, Washington, us, 98127
Power Architect – Machine Learning Acceleration
Amazon Web Services (AWS) Utility Computing (UC) is responsible for designing silicon and software that accelerates cloud innovation. Our subspecialty Annapurna Labs focuses on creating cloud solutions that solve challenges previously unimaginable. We are looking for an experienced Power Architect to join our Machine Learning Acceleration team in Los Angeles County.
A Power Architect will design and implement comprehensive power architecture solutions for ML accelerator platforms, develop and optimize DVFS flows, create and validate power management algorithms, lead peak power management initiatives, analyze workloads for power‑performance trade‑offs, collaborate with software and RTL teams, create power models, and provide technical leadership and mentoring. The role requires strong technical expertise and leadership to deliver innovative power solutions that maximize performance while maintaining power efficiency.
Key Responsibilities
Design and implement comprehensive power architecture solutions for ML accelerator platforms
Develop and optimize DVFS (Dynamic Voltage and Frequency Scaling) flows and power control schemes
Create and validate power management algorithms for various operating conditions
Lead peak power management initiatives and develop solutions for di/dt handling
Analyze and optimize workloads for optimal power‑performance trade‑offs
Drive cross‑functional collaboration with software teams to develop, integrate, and verify power management solutions across the hardware‑software stack
Collaborate with RTL and pre‑silicon teams to ensure power requirements are met throughout the design flow
Create power models and develop automation scripts for power analysis
Provide technical leadership and mentoring to team members
Partner with cross‑functional teams to drive power architecture requirements and solutions
Basic Qualifications
Bachelor’s degree in Electrical Engineering, Computer Engineering, or a related technical field
3+ years of experience in power architecture and management
Strong background in DVFS flows and power optimization techniques
Proven experience in designing power control schemes and algorithms
Demonstrated expertise in peak power management and di/dt handling
Proficiency in Python programming for scripting and modeling
Experience with workload optimization for power and performance
Working knowledge of C/C++ programming and software development lifecycle
Understanding of RTL design and pre‑silicon validation flow
Strong analytical and problem‑solving skills
Preferred Qualifications
Master’s degree or equivalent
10+ years of experience in power architecture for high‑performance computing systems
Experience with machine learning accelerator architectures
Track record of leading complex technical projects
Experience with power modeling and analysis toolsPublished papers or patents in power architecture or related fields n Strong leadership skills with demonstrated ability to take ownership of complex projects, deliver results in a fast‑paced environment, and drive customer‑focused solutions
Experience with data center power management solutions
Knowledge of industry standards and specifications related to power management
Excellent communication and presentation skills
AWS – About AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneer cloud computing and continuously innovate, powering customers from startups to global enterprises.
Inclusive Team Culture At AWS we foster a culture of inclusion through employee‑led affinity groups and ongoing learning experiences. We value curiosity, mentorship, and work‑life harmony.
Equal Opportunity Employer Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or any other legally protected status.
Job ID: A3113531
This position will remain posted until filled. Applicants should apply via our internal or external career site.
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A Power Architect will design and implement comprehensive power architecture solutions for ML accelerator platforms, develop and optimize DVFS flows, create and validate power management algorithms, lead peak power management initiatives, analyze workloads for power‑performance trade‑offs, collaborate with software and RTL teams, create power models, and provide technical leadership and mentoring. The role requires strong technical expertise and leadership to deliver innovative power solutions that maximize performance while maintaining power efficiency.
Key Responsibilities
Design and implement comprehensive power architecture solutions for ML accelerator platforms
Develop and optimize DVFS (Dynamic Voltage and Frequency Scaling) flows and power control schemes
Create and validate power management algorithms for various operating conditions
Lead peak power management initiatives and develop solutions for di/dt handling
Analyze and optimize workloads for optimal power‑performance trade‑offs
Drive cross‑functional collaboration with software teams to develop, integrate, and verify power management solutions across the hardware‑software stack
Collaborate with RTL and pre‑silicon teams to ensure power requirements are met throughout the design flow
Create power models and develop automation scripts for power analysis
Provide technical leadership and mentoring to team members
Partner with cross‑functional teams to drive power architecture requirements and solutions
Basic Qualifications
Bachelor’s degree in Electrical Engineering, Computer Engineering, or a related technical field
3+ years of experience in power architecture and management
Strong background in DVFS flows and power optimization techniques
Proven experience in designing power control schemes and algorithms
Demonstrated expertise in peak power management and di/dt handling
Proficiency in Python programming for scripting and modeling
Experience with workload optimization for power and performance
Working knowledge of C/C++ programming and software development lifecycle
Understanding of RTL design and pre‑silicon validation flow
Strong analytical and problem‑solving skills
Preferred Qualifications
Master’s degree or equivalent
10+ years of experience in power architecture for high‑performance computing systems
Experience with machine learning accelerator architectures
Track record of leading complex technical projects
Experience with power modeling and analysis toolsPublished papers or patents in power architecture or related fields n Strong leadership skills with demonstrated ability to take ownership of complex projects, deliver results in a fast‑paced environment, and drive customer‑focused solutions
Experience with data center power management solutions
Knowledge of industry standards and specifications related to power management
Excellent communication and presentation skills
AWS – About AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneer cloud computing and continuously innovate, powering customers from startups to global enterprises.
Inclusive Team Culture At AWS we foster a culture of inclusion through employee‑led affinity groups and ongoing learning experiences. We value curiosity, mentorship, and work‑life harmony.
Equal Opportunity Employer Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or any other legally protected status.
Job ID: A3113531
This position will remain posted until filled. Applicants should apply via our internal or external career site.
#J-18808-Ljbffr