10 Aug
|
Weekday AI
|
India
This role is for one of the Weekday's clients
Min Experience: 6+ years
Location: India
JobType: full-time
We are seeking an experienced Physical Design Engineer to drive the complete RTL-to-GDSII implementation flow for complex ASIC/SoC designs. The ideal candidate should have strong expertise in block- or chip-level physical design, timing closure, power optimization, and signoff using industry-standard EDA tools on advanced technology nodes.
Key Responsibilities
Execute the complete Physical Design flow from Netlist to GDSII.
Perform Floorplanning, Power Planning, Placement, CTS, Routing, and Physical Verification.
Drive timing closure while meeting PPA (Performance, Power, and Area) targets.
Perform congestion analysis and optimize placement and routing.
Analyze and fix setup/hold timing violations across all design corners and modes.
Perform physical signoff including DRC, LVS, IR Drop, EM, and antenna checks.
Collaborate with RTL, DFT, STA, and Packaging teams to achieve successful tape-out.
Debug and resolve implementation issues while ensuring design quality.
Support ECO implementation and timing closure activities.
Ensure successful tape-out on advanced technology nodes.
Mandatory Skills (Deal-Breakers)
Candidates must have the following skills:
6+ years of hands-on experience in ASIC/SoC Physical Design.
Solid experience in complete RTL-to-GDSII implementation flow.
Expertise in:
Floorplanning
Power Planning
Placement & Optimization
Clock Tree Synthesis (CTS)
Routing
Physical Verification
ECO Implementation
Strong timing closure experience with setup and hold optimization.
Hands-on experience with Cadence Innovus.
Experience using Synopsys ICC2 is an added advantage.
Strong knowledge of Static Timing Analysis (STA) concepts.
Experience with IR Drop, EM Analysis, Crosstalk, Noise, and Signal Integrity.
Hands-on experience with Calibre for DRC/LVS signoff.
Experience with advanced technology nodes such as 2nm, 3nm, 5nm, 7nm, 12nm, 16nm, and FinFET.
Good unde
📌 Physical Design (India)
🏢 Weekday AI
📍 India