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Amazon

Sr. SoC Power Engineer, Annapurna Labs - Cloud Scale Machine Learning

Cupertino, CA, United States

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Job details

Posting language: English
Posted: Dec 17, 2025

Original job description

Description

AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new 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, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.

Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SoCs that are used to power today’s AI workloads in datacenters all around the world. As a Sr. SoC Power Engineer, you’ll contribute to the project at the ground level by modeling and estimating power at every stage of the design from early RTL to final netlist and by driving ways to reduce power consumption of our machine learning accelerators.

We’re searching for an experienced SoC Power engineer with a background in Power analysis with a proven track record of handling challenges at scale. In this role, you’ll be working directly with architects, designers, verification engineers, software teams, and Physical Design experts - defining best practices to reduce power and model power consumption with high accuracy.

Key job responsibilities

Responsible for full chip power analysis & modelling at various stages of design (RTL to gate level netlist)
Develop and maintain dashboards for power rollups
Work with designers, architects, Verification engineers and Physical Design engineers to develop vectors for IR analysis, Thermal analysis and power estimation
Give feedback to designers and architects on how to reduce power
Make power measurements in the lab and correlate back to simulations.
Work with Emulation engineers to model chip-level power consumption

A day in the life

Depending on the state of the project, you may find yourself working on the following:

Working with designers, architects and verification engineers to come up with worst-case vectors for power analysis or IR analysis
Root cause causes of low annotation or low switching coverage with vectors
Develop & maintain dashboards to track power consumption
Run tools like Power Artist to identify power saving opportunities and feed these back to the design team.
Work with emulation engineers to model chip level power consumption and correlate with simulation
Do post-silicon power measurements and correlate with simulation.

About the team

Why 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.

Utility Computing (UC)

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 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 and 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.

Diverse Experiences

Amazon values diverse experiences. Even if you do not meet all of the preferred 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.

Basic Qualifications

Bachelor's degree in Computer Science, Computer Engineering, or Electrical Engineering
BS + 6yrs or MS + 5yrs or PhD + 3yr in EE/CS
Expert on power analysis tools like PrimePower, PowerArtist or similar
Ability to give feedback to RTL designers and Physical Designers on how to reduce power
Highly proficient with scripting language (Tcl, Perl, Python or similar)
Good understanding of Physical Design, EM/IR, Power Integrity, and Thermal at the die, package, board, and server level
Understanding of lab equipment use and capable of doing lab power analysis
Knowledge of deep circuit-level chip power

Preferred Qualifications

Familiarity with Make or similar for automation of power rollups
Experience with RTL design (System verilog)
Familiarity with EMIR analysis tools (Redhawk / Voltus)
Experience with Zebu Emulator platform

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .

USA, CA, Cupertino - 213,000.00 - 287,500.00 USD annually

USA, TX, Austin - 185,200.00 - 250,000.00 USD annually

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More about this job

Skills

Machine learning
AWS
Internet of Things
RTL
Estimating
Cloud computing
Computer science
Computer engineering
Electrical engineering
Perl
Python
Laboratory equipment
SystemVerilog
Customer service
Recruitment
Mental health

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