Amazon
Sr. Manager, Physical Design Engineering, Annapurna Labs
$241K–$350K
Austin, TX +2 · Manager · Full-time · Posted Sep 22, 2026
- Location
- Austin, TX
San Diego, CA
Cupertino, CA - Experience
- 5+ years people management; 10+ years hands-on ASIC/SoC physical design.
About the job
Leads the physical design organization and technical execution for Amazon’s ML accelerator SoCs, from methodology and node enablement through tapeout.
What you'll do
- Build and manage a physical design team, including hiring, development, performance management, and organizational growth.
- Set physical design strategy and drive PPA improvement, RTL-to-GDS methodologies, and AI/ML-augmented automation.
- Lead technical problem-solving, technology enablement, tapeouts, and coordination with foundries, EDA vendors, and cross-functional teams.
What they ask for
- 5+ years of people management leading physical design teams of 8+ engineers.
- 10+ years of hands-on ASIC/SoC physical design across advanced nodes, with multiple successful tapeouts.
- Expertise across RTL-to-GDSII, advanced STA, power integrity, high-speed physical design, low-power design, and hierarchical methodologies for very large SoCs.
- Mastery of Synopsys and Cadence EDA ecosystems; physical verification with Siemens Calibre; expert scripting in TCL, Python, and Perl.
Nice to have
- Physical design leadership for AI/ML accelerators, GPUs, or high-performance data-center SoCs.
- Direct 3nm GAA/Nanosheet experience, 2nm or sub-2nm engagement, or hands-on 2.5D/3D integration.
Pay
277,400.00 - 350,000.00 USD annually (base salary); 241,200.00 - 325,600.00 USD annually (base salary)
Tools
Synopsys, Fusion Compiler/ICC2, PrimeTime, StarRC, RedHawk-SC, Cadence, Innovus, Tempus
AI focus
Champion AI/ML-augmented design automation, including RL-placement, ML-guided ECO, and predictive analytics; preferred experience deploying AI/ML-driven design methodologies in production flows.
Model-written summary · the original posting is authoritative