Amazon
PD Methodology Engineer II, Annapurna Labs
$177K–$247K
San Diego, CA +1 · Full-time · Posted Sep 8, 2026
- Location
- San Diego, CA
Cupertino, CA - Experience
- Minimum 3+ years in developing design methodology or CAD flows for advanced technology nodes.
- Education
- Bachelor's degree in Electrical Engineering or a related field.
About the job
Develops and improves physical design methodology, CAD flows, and cloud infrastructure for machine-learning accelerator hardware, including AWS Inferentia.
What you'll do
- Create and support physical design methodology and CAD flows; develop supporting cloud infrastructure.
- Improve RTL2GDS flows for PPA and turnaround time, and create project-tracking and QoR dashboards.
- Coordinate with design teams and EDA vendors to improve methodologies, evaluate tools, and resolve issues.
What they ask for
- Bachelor's degree in Electrical Engineering or a related field.
- 3+ years developing design methodology or CAD flows in synthesis, PNR, or sign-off for advanced technology nodes.
- Experience writing production scripts for implementation and sign-off tools in TCL, Perl, and/or Python.
- Understanding of ASIC physical design and flows, including synthesis, place and route, STA, and formal verification; track record in metric-driven PPA flow development and support.
Nice to have
- Experience in machine-learning applications.
- Experience with PD tools such as Innovus, ICC2, FusionCompiler, STA, and Sign-Off; or evaluating vendor solutions and driving tool decisions.
Pay
176,600.00 - 247,300.00 USD annually (base salary)
Tools
AWS Inferentia, TCL, Perl, Python, Innovus, ICC2, FusionCompiler, STA
AI focus
The role supports physical design and optimization of machine-learning accelerator hardware, including AWS Inferentia, a machine-learning inference product.
Model-written summary · the original posting is authoritative