Amazon
Sr. Physical Design Engineer, Annapurna Labs
$185K–$288K
Austin, TX +1 · Senior · Full-time · Posted Jul 27, 2026
- Location
- Austin, TX
Cupertino, CA - Experience
- BS + 8yrs or MS + 6yrs in EE/CS; 6+ years in ASIC Physical Design from RTL-to-GDSII.
- Education
- Bachelor’s degree in Computer Science, Computer Engineering, or Electrical Engineering.
About the job
Drives physical implementation and optimization of ASIC designs for AWS machine-learning servers, from feasibility and trade-off analysis through sign-off.
What you'll do
- Lead block and subsystem physical implementation, including synthesis, floor planning, place and route, timing closure, physical verification, ECO, and sign-off.
- Collaborate with RTL and architecture teams on feasibility studies and power-performance-area trade-offs; develop physical design methodologies.
- Evaluate third-party IP and recommend solutions.
What they ask for
- Bachelor’s degree in Computer Science, Computer Engineering, or Electrical Engineering.
- BS + 8yrs or MS + 6yrs in EE/CS.
- 6+ years in ASIC Physical Design from RTL-to-GDSII in 7nm, 14/16nm, 20nm, or 28nm.
- Scripting experience with Python, Perl, Bash, or PowerShell; block design using EDA tools and deep understanding of sign-off activities.
Nice to have
- Experience mentoring, leading, or managing more junior engineers.
- 4+ years integrating IP; experience with CAD flow development, device physics, custom/semi-custom implementation, physical design across technologies, or QOR analysis.
Pay
USD 213,000.00 - 287,500.00 annually (base salary); USD 185,200.00 - 250,000.00 annually (base salary)
Tools
Python, Perl, Bash, PowerShell, Cadence, Mentor Graphics, Synopsys
AI focus
Physical design and optimization of AWS Inferentia and Trainium systems for machine-learning inference and training.
Model-written summary · the original posting is authoritative