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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. 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 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 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

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 https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $134,500/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.