SoC Power Engineer, Annapurna Labs - Cloud Scale Machine Learning

Amazon is hiring a SoC Power Engineer, Annapurna Labs - Cloud Scale Machine Learning in Cupertino, United States. It pays $177k-$247k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Little AI ●○○○ is how Level rates this role: aI is not part of the work.
Level classifies it as a mid-level role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

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 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

Basic qualifications

- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or related fields
- BS + 4yrs or MS + 2yrs or PhD + 1yr in EE/CS
- Experience with power analysis tools like PrimePower, PowerArtist or similar
- Circuit-level understanding of chip power
- Ability to give feedback to RTL designers and Physical Designers on how to reduce power
- 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

Preferred qualifications

- Master's degree in Computer Science, Computer Engineering, or Electrical Engineering
- 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 - 176,600.00 - 247,300.00 USD annually
USA, CA, San Diego - 153,600.00 - 215,000.00 USD annually
USA, TX, Austin - 153,600.00 - 215,000.00 USD annually

How we rate this

SoC Power Engineer, Annapurna Labs - Cloud Scale Machine Learning at Amazon rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

SoC Power Engineer, Annapurna Labs - Cloud Scale Machine Learning is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The listed salary is $177k-$247k a year.
The role is based in US, CA, Cupertino.
The job was posted on August 20, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon