Our Machine Learning Acceleration (MLA) team develops the SOCs that are used to power today's AI workloads in datacenters all around the world. As a DevOps Software Engineer, you'll contribute to the project at the ground level by automating workflows and developing large-scale solutions that accelerate silicon development - it's still Day One here at Amazon!

We're searching for an experienced DevOps Software Engineer who is familiar with RTL design and/or verification processes, with a proven track record of handling challenges at scale. In this role, you'll be working closely with architects, designers, verification engineers, and other team members to gather metrics, visualize data, and build comprehensive dashboards, monitors, and alerts that enable tracking, forecasting, and debugging of infrastructure failures.

Key job responsibilities
Key job responsibilities

Design and implement big-data architecture for ASIC development metrics
Partner with teams to identify and integrate relevant metrics into centralized repositories
* Create intuitive dashboards, monitors, and alerts for actionable insights
* Provide technical support for infrastructure issues and troubleshooting
* Optimize design flows and infrastructure efficiency across the silicon development pipeline