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Amazon Senior Power Optimization Engineer System 
United States, Texas, Austin 
155796231

12.06.2024
DESCRIPTION

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. This is a fast-paced, intellectually challenging position, and you’ll work with thought-leaders in multiple technology areas. 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 responsibilities
Key job responsibilitiesFull 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.
Austin, TX, USA

BASIC QUALIFICATIONS

BS degree or higher in EE or CE
8+ 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 expertise
Experience 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