CAD Engineer - Static Timing Analysis & Physical Design
22 days ago Haifa, Israel
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As a member of our PD CAD team reporting to the STA manager, you will develop and support advanced Static Timing Analysis flows and methodologies while contributing to the broader Physical Design infrastructure. This role combines deep STA expertise with modern software engineering practices to deliver robust, scalable timing closure solutions for cutting-edge silicon designs. You will work closely with Physical Design teams, methodology teams, and EDA vendors to ensure timing signoff success across multiple advanced technology nodes.
Description
You will drive timing methodology development and support timing closure across multiple concurrent projects. Your work will span from flow automation and database-driven analysis to direct collaboration with design teams during critical tapeout phases.","responsibilities":"Develop and maintain automated STA flows, from constraint generation through signoff reporting
Build and optimize timing databases for cross-project analysis and historical trending
Create Python-based tools for timing analysis, constraint validation, and ECO automation
Collaborate with design teams to debug timing violations and develop closure strategies
Interface with EDA vendors on tool bring-up, validation, and advanced feature adoption
Support multiple projects simultaneously during timing closure and tapeout phases
Preferred Qualifications
BS/MS in Electrical Engineering, Computer Engineering, or Computer Science
Demonstrated track record of successful timing closure on complex designs
Proficient in SQL with hands-on experience in MySQL and PostgreSQL for timing data management and analysis
This role offers the opportunity to shape next-generation timing methodologies while working with cutting-edge technologies and talented engineering teams across HWTech.
Minimum Qualifications
Proven experience with PrimeTime for timing analysis, constraint development, and signoff
Deep understanding of timing concepts: setup/hold analysis, clock domain crossing, multicycle paths, false paths, and timing exceptions
Experience with advanced timing concepts: OCV, statistical timing analysis, margins and variation analysis
Solid understanding of RTL-to-GDSII flow with focus on timing-critical stages
Knowledge of power-aware timing analysis and low-power design methodologies
Expert-level Python programming for automation, data analysis, and tool integration
Description
You will drive timing methodology development and support timing closure across multiple concurrent projects. Your work will span from flow automation and database-driven analysis to direct collaboration with design teams during critical tapeout phases.","responsibilities":"Develop and maintain automated STA flows, from constraint generation through signoff reporting
Build and optimize timing databases for cross-project analysis and historical trending
Create Python-based tools for timing analysis, constraint validation, and ECO automation
Collaborate with design teams to debug timing violations and develop closure strategies
Interface with EDA vendors on tool bring-up, validation, and advanced feature adoption
Support multiple projects simultaneously during timing closure and tapeout phases
Preferred Qualifications
BS/MS in Electrical Engineering, Computer Engineering, or Computer Science
Demonstrated track record of successful timing closure on complex designs
Proficient in SQL with hands-on experience in MySQL and PostgreSQL for timing data management and analysis
This role offers the opportunity to shape next-generation timing methodologies while working with cutting-edge technologies and talented engineering teams across HWTech.
Minimum Qualifications
Proven experience with PrimeTime for timing analysis, constraint development, and signoff
Deep understanding of timing concepts: setup/hold analysis, clock domain crossing, multicycle paths, false paths, and timing exceptions
Experience with advanced timing concepts: OCV, statistical timing analysis, margins and variation analysis
Solid understanding of RTL-to-GDSII flow with focus on timing-critical stages
Knowledge of power-aware timing analysis and low-power design methodologies
Expert-level Python programming for automation, data analysis, and tool integration
Additional Information
- Posted: 22 days ago