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Senior Power Optimization Engineer, System Power Optimization Technology Team - Round Rock, United States - Annapurna Labs (U.S.) Inc.
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Description
Amazon Web Services provides a highly reliable, scalable, low-cost cloud infrastructure platform that powers hundreds of thousands of businesses in 190+ countries around the world.
We have data center locations in the U.S., Europe, and Asia, and customers across all industries. We are seeking experienced System-on-Chip (SoC) Power Analysis Engineers to build the next generation of our cloud server infrastructure. Our success depends on our world-class server infrastructure; we're handling massive scale and rapid integration of emergent technologies.
As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the entire SoC power rollup, performing power analysis at various stages of the design, and developing power optimization techniques from SoC to complete system.
These systems include accelerators such as AWS Inferentia and AWS Trainium which are machine learning products designed to deliver high performance at low cost.
You'll provide leadership in the application of new technologies to large scale deployments in a continuous effort to deliver a world-class customer experience.
You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve our products' performance, quality and cost.
We're changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today.
Key job responsibilitiesKey job responsibilities
Full ownership of SOC power – early estimation to signoff
Developing early power models and extracting power estimation for new SoCs
Developing power mitigation techniques at the microarchitecture level
Running RTL level power analysis tools and looking for power savings opportunities at architectural and micro-architectural level
Running vector and vectorless power analysis to get accurate average and peak power numbers during SoC development
Working with emulation and application software teams to get application specific power numbers using emulation power analysis flows during the SoC development
Reviewing and giving feedback on Electromigration, IR drop, and Power Integrity analysis at the die, package, and PCB levels
Providing inputs for thermal analysis and reviewing and giving feedback on thermal analysis results for the die, package, PCB, and system
Using lab equipment to perform power validation on new silicon and correlation to pre-silicon models.
About the team
About the team
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally.
We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.
Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
We are open to hiring candidates to work out of one of the following locations:Austin, TX, USA
BASIC QUALIFICATIONS
BS degree or higher in EE or CE8+ years or more of SoC development experience
Previous experience owning SoC power modeling and optimization for entire SoC
Previous experience managing (directly or indirectly) a team
Knowledge of power savings techniques and experience with optimizing SoCs to lower power dissipation
Experience running and expertise of sign-off power analysis tools
Must be proficient with TCL scripting
Must work well with others on cross-functional teams and must be able to multi-task
PREFERRED QUALIFICATIONS
RTL level power analysis tool expertiseExperience with emulator power analysis flows
Experience using lab equipment for silicon and system validation
Process and circuit design knowledge
Experience analyzing power for high power chips
Proficient writing Verilog RTL
Proficient writing other scripting languages such as Python or Perl
Experience with electro-migration, IR drop, power integrity, thermal analysis is desired
General knowledge of Machine Learning, Computer Arithmetic, Server/Datacenter Architecture
Amazon is committed to a diverse and inclusive workplace.
Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
For individuals with disabilities who would like to request an accommodation, please visit
Senior Power Optimization Engineer, System Power Optimization Technology Team professionals in Round Rock
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Dan Miles
Transformative IT leadership