Sr. PD Methodology Engineer, Annapurna Labs - Cloud Scale Machine Learning
Amazon · Austin, TX · Applied Science
About this role
Amazon is hiring a mid-level Embedded Software Engineer in the software engineering function based in Austin, TX. The posting calls out experience with Python, AWS, Data Structures, Machine Learning. Compensation is listed at $159,200–$215,300 per year.
- Role
- Embedded Software Engineer
- Function
- software engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Austin, TX
- Department
- Applied Science
- Posted
- May 4, 2025
More roles at Amazon
Job description
from Amazon careersAnnapurna Labs (our organization within AWS Utility Computing) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries. Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, Trainium Systems (our custom designed machine learning inference and training datacenter servers). Our success depends on our world-class server infrastructure; we’re handling massive scale and rapid integration of emergent technologies. We’re looking for an ASIC Physical Design Methodology Engineer to help us trail-blaze new technologies and architectures, while ensuring high design quality…