AmazonSr Power Engineer, Annapurna Labs, AI Power Team
AI in this role
Architect and validate power delivery solutions for machine learning hardware products in AWS data centers.
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
How we rate this
Sr Power Engineer, Annapurna Labs, AI Power Team at Amazon rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where hardware design was part of your work. What did you do?
- Tell me about a project where software integration was part of your work. What did you do?
- Tell me about a project where power engineering was part of your work. What did you do?
- Tell me about a project where embedded systems was part of your work. What did you do?
- Tell me about a project where statistical modeling was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Hardware Design, Software Integration, Power Engineering, Embedded Systems, and Statistical Modeling. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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