PD Methodology Engineer, Annapurna Labs - Cloud Scale Machine Learning
Amazon · Posted Nov 4, 2026
- Austin, Texas, United States +1 more
- On-site
- Full-time
- $154K–$247K per year
Design and optimize physical design methodologies for ASICs in Amazon’s cloud-scale machine learning infrastructure.
Locations (2)
- Austin, Texas, United States
- Cupertino, California, United States
Compensation
USA, CA, Cupertino - 176,600.00 - 247,300.00 USD annually USA, TX, Austin - 153,600.00 - 215,000.00 USD annually
Responsibilities
- Define, develop and deploy innovative physical design and verification methodologies (RTL2GDS) for ML Accelerator chips in advanced nodes
- Drive optimizations in CAD flows/methodologies for PPA and TAT improvements
- Work with EDA tool vendors to evaluate new methods, resolve bugs, improve usability
- Fine tune cloud infrastructure to improve compute and storage utilization for physical design work
- Interface directly with RTL, Physical Design, Package Design, DFT teams to improve methodologies and efficiencies