Amazon · 3 months ago
Senior Power Architect, Annapurna Labs, ML Acceleration Power Architecture
Cupertino, California, USA
Full-time
Onsite
Mid, Senior Level
$143K/yr - $257K/yr
3+ years expAnnapurna Labs, a part of Amazon, is seeking an experienced Power Architect to join their Machine Learning Acceleration team. This role involves developing and implementing power architecture solutions for ML accelerator designs, optimizing power consumption, and managing thermal constraints in Amazon data centers.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
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
Qualification
Required
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
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
Benefits
Equity
Sign-on payments
Full range of medical, financial, and/or other benefits
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
10001+ employees
H1B Sponsorship
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reference. (Data Powered by US Department of Labor)
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2025 (22803)
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Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
Recent News
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