Amazon Web Services (AWS)
Senior Power Architect, Annapurna Labs, ML Acceleration Power Architecture
Amazon Web Services (AWS), Cupertino, California, United States, 95014
Description
AWS Utility Computing (UC) provides product Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.
We are seeking an experienced Power Architect to join our Machine Learning Acceleration team. In this role, you will be responsible for developing and implementing power architecture solutions, optimizing power consumption, and managing thermal constraints for ML accelerator designs in Amazon data centers. You will work closely with cross-functional teams to deliver innovative power management solutions that maximize performance while maintaining power efficiency.
Key job 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 tools
Published papers or patents in power architecture or related fields
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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Job ID: A3113531 – Annapurna Labs (U.S.) Inc.
#J-18808-Ljbffr
We are seeking an experienced Power Architect to join our Machine Learning Acceleration team. In this role, you will be responsible for developing and implementing power architecture solutions, optimizing power consumption, and managing thermal constraints for ML accelerator designs in Amazon data centers. You will work closely with cross-functional teams to deliver innovative power management solutions that maximize performance while maintaining power efficiency.
Key job 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 tools
Published papers or patents in power architecture or related fields
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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Job ID: A3113531 – Annapurna Labs (U.S.) Inc.
#J-18808-Ljbffr