Amazon
PD Engineer, Annapurna Labs
$154K–$247K
Austin, TX +1 · Full-time · Posted May 13, 2026
- Location
- Austin, TX
Cupertino, CA - Experience
- Preferred: 4+ years of integrating IP.
- Education
- Bachelor's degree in Electrical Engineering or a related field.
About the job
Designs and optimizes physical implementation and supporting infrastructure for cloud-scale machine-learning accelerator hardware.
What you'll do
- Drive block physical implementation from synthesis through physical verification, ECO, and sign-off.
- Develop cloud infrastructure and improve RTL2GDS flows and methodology for PPA and turnaround-time improvement.
- Coordinate with RTL, Package Design, DFT, and EDA vendors to improve tools, methodologies, and project tracking.
What they ask for
- Bachelor's degree in Electrical Engineering or a related field.
- Block design experience using EDA tools, including synthesis, equivalency verification, floor planning, place and route, timing closure, physical verification, and ECO.
- Deep understanding of sign-off activities, including timing, IR/EM, and physical verification.
Nice to have
- Expertise developing CAD tool flows for physical design.
- 4+ years of integrating IP and ability to specify and drive IP requirements in the physical domain.
Pay
USD 176,600.00 - 247,300.00 annually (base salary); USD 153,600.00 - 215,000.00 annually (base salary)
Tools
AWS Inferentia, Cadence, Mentor Graphics, Synopsys, RTL2GDS, EDA
AI focus
Physical design and optimization of machine-learning inference accelerator hardware, including AWS Inferentia.
Model-written summary · the original posting is authoritative