DESCRIPTION

AWS Utility Computing (UC) provides product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon’s growing suite of generative AI services and other cutting-edge cloud computing offerings across the AWS portfolio.

Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.

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
– 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
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.

Diverse 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 AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

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.

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.

USA, TX, Austin