Sr Power Engineer, Annapurna Labs, AI Power Team

Annapurna Labs 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 Power 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.

Key job responsibilities
In this position, you’ll have the opportunity to:
- Drive design and validation process improvements in availability, and efficiency as they relate to power for AWS servers.
- 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.
- Identify and drive DFM and DFT improvements related to power
- Engage deeply in the operations of our systems, including identifying and rectifying root causes of critical issues
- Ensure the quality & reliability of architecture of our end-to-end system design
- Collaborate with other principal engineers to find simple solutions to brain-contorting problems
- Advocate for the customer and ensure we are building the best possible experience

Basic Qualifications

- Bachelor's degree in Electrical Engineering, Computer Engineering, or a related technical 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

Preferred Qualifications

- Master's degree in Computer Science or a related field
- Experience with ML accelerators
- Experience with data center deployments of compute-related infrastructure

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

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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 https://amazon.jobs/en/benefits.

USA, TX, Austin - 137,300.00 - 185,700.00 USD annually