EMIR Engineer II, Annapurna Labs - Cloud Scale Machine Learning
Amazon · Cupertino, CA · Software Development
About this role
Amazon is hiring a mid-level Machine Learning Engineer based in Cupertino, CA. The posting calls out experience with Python, Ruby, Bash, Data Structures. Listed education preference: a bachelor's degree or equivalent. Compensation is listed at $157,300–$212,800 per year.
- Role
- Machine Learning Engineer
- Function
- machine learning
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Cupertino, CA
- Education
- Bachelor's degree
- Department
- Software Development
- Posted
- Feb 10, 2026
More roles at Amazon
Job description
from Amazon careersOur 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 EMIR Engineer, you’ll contribute to the EMIR sign-off of our SoCs and help maintain a high bar on quality. We’re searching for an experienced EMIR engineer with a proven track record of handling challenges at scale. In this role, you’ll be working directly with architects, designers, verification engineers, power integrity engineers and physical design experts - defining best practices in power grid design, developing test cases vectors to model demand currents accurately, modeling signing-off EMIR taking into account board and package impact, advancing the state-of-the-art in EMIR analysis and modeling. Key job responsibilities * Design analyze power grids * Setup flows for EMIR analysis * Run EMIR analysis for large subsystems, SoCs * Partner with EDA tool vendors to develop / evaluate new methodologies for EMIR analysis * Develop and maintain dashboards for EMIR rollups * Work with designers, architects, Verification engineers and Physical Design engineers to develop vectors for IR analysis, Thermal analysis and power estimation A day in the life Depending on the state of the project, you…