Sr. Power Engineer, Annapurna Labs, Machine Learning Hardware

Amazon • Cupertino, CA

2d

About The Position

AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services. 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 looking for a Hardware Design Engineer with strong skills in both hardware and software. In this role you will be responsible for architecting, designing, simulating and validating power delivery multi-source solutions on machine learning products and support those designs in AWS fleet through their entire life cycle. You will work cross functionally with AWS monitoring teams, members of the Hardware Design team, supply chain team, vendors, ODMs and additional teams across AWS to improve quality and reliability of products operating in the fleet.

Requirements

• B.S. Electrical Engineering , Computer Engineering or a related field
• 8+ years of experience with hardware and software integration for embedded systems or hardware development
• 5+ years of experience with managing ODM
• 5+ years of experience as the lead technologist/architect/engineer in the power space for a major technology, component, product, or product line
• Demonstrated expertise in driving power reliability and efficiency through design enhancement and failure mode analysis
• Experience with statistical analysis and modeling for reliability, performance, and/or cost

Nice To Haves

• M.S. Computer Science or a related field
• Experience with ML accelerators
• Experience with data center deployments of compute-related infrastructure

Responsibilities

• Drive improvements in availability, and efficiency as they relate to power for AWS servers. These improvements should include enhanced designs, enhanced testing, and improved manufacturing at the suppliers themselves.
• Identify and drive process improvements and automation in power design, validation, manufacturing and both pre-production and field testability.
• Develop comprehensive AWS reliability models for server power, taking advantage of our copious production telemetry and deep knowledge of component internals.
• Serve as power technical lead on some of our most demanding machine learning rack scale projects, including the launch of new services and features that will be deployed and used at massive scale
• Work with technology leaders to define and drive critical features and architectural advancements into our rack scale systems
• Help drive a power technology roadmap and guide our suppliers to meet Amazon’s server power needs for future generation products.
• Collaborate with other principal engineers to find simple solutions to brain-contorting problems
• Ensure the quality & reliability of architecture of our end-to-end system design
• Collaborate with our supply chain team to define the sourcing strategy for power commodities
• Engage deeply in the operations of our systems, including identifying and rectifying root causes of critical issues
• Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues, and helping managers guide the career growth of their team members
• Provide technical guidance to multiple teams, increasing their productivity and effectiveness by sharing your deep knowledge and experience
• Advocate for the customer and ensure we are building the best possible experience

Benefits

• Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
• Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $257,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
• For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits [https://www.aboutamazon.com/workplace/employee-benefits]. This position will remain posted until filled. Applicants should apply via our internal or external career site.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level