mid Machine Learning Engineer ic · Posted May 13, 2026
$157,300 – $212,800
USD per year

About this role

Amazon is hiring a mid-level Machine Learning Engineer based in Cupertino, CA. The posting calls out experience with Data Structures, Machine Learning. 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
Department
Software Development
Posted
May 13, 2026

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Job description

from Amazon careers

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 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…

This is an excerpt. Read the full job description on Amazon careers →
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