Etched
Physical Design Engineer - Flow & Methodologies
$200K–$375K
San Jose · On-site · Full-time · Posted Jul 23, 2026
- Experience
- 5-10+ years of previous experience with PD or PD methodology/CAD.
About the job
Architect and maintain automated physical-design flows and CAD infrastructure for AI hardware, improving implementation speed and power, performance, and area outcomes.
What you'll do
- Build and maintain automated RTL-to-GDSII flows, including regression, run management, and configuration release control.
- Develop CAD infrastructure, dashboards, reference flows, and signoff checks; coordinate with EDA vendors and design teams.
- Create PG meshes and floorplanning flows, and tune PPA and timing correlation across implementation and signoff.
What they ask for
- 5-10+ years of experience with PD or PD methodology/CAD.
- Experience building and owning automated RTL-to-GDSII flows used by multiple block owners.
- Experience with PG mesh creation, DRC-clean floorplanning, PPA tuning, and timing correlation.
- Strong Tcl and Python skills; experience with advanced-node back-end design (5nm and below) and sign-off tool integration.
Nice to have
- Familiarity with modern ML and LLM model architectures or AI coding tools.
- Experience optimizing compute farms and job schedulers for EDA workloads, or startup experience.
Pay
$200K – $375K USD base salary
Tools
Cadence, Innovus, Genus, Synopsys, Fusion Compiler, PrimeTime, Tempus, Voltus
AI focus
The role develops physical-design methodology for inference-focused AI hardware; familiarity with ML/LLM architectures and AI coding tools is preferred.
Model-written summary · the original posting is authoritative