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Key job responsibilities
In this position, you’ll have the opportunity to:
- 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
- Ensure the quality & reliability of architecture of our end-to-end system design- Engage deeply in the operations of our systems, including identifying and rectifying root causes of critical issuesDiverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.About AWSWork/Life Balance
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- 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
- M.S. Computer Science or a related field
- Experience with ML accelerators
- Experience with data center deployments of compute-related infrastructure
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