Sr. Staff Engineer PD

Your Job

• Implement DFT architectures including ATPG MBIST LBIST scan insertion and analog test features Execute all phases of physical design: synthesis floorplanning placement clock tree synthesis place-and-route timing closure power/noise analysis and signoff verification.
• Implement design strategies to achieve performance area and power targets for customer-specific ICs under lead guidance.
• Apply re-use methodologies leveraging standard IP blocks libraries and flows to accelerate project execution.
• Resolve timing congestion and power issues in high-speed high-density designs using EDA tools and scripting.
• Collaborate with RTL design verification DFT and package teams to integrate requirements and ensure design convergence.
• Perform physical verification (DRC LVS) and support debug for clean tape-out deliverables.
• Automate flows with TCL Python or Perl scripts to improve productivity and repeatability.
• Analyze design metrics and contribute to process improvements through data-driven insights.

Other Responsibilities

• Perform all activities in a safe and responsible manner and support all Environmental Health Safety & Security requirements and programs.

Required Qualifications

• Bachelors or Masters degree in Electrical Engineering Computer Engineering or a related field.
• 4 years of hands-on physical design experience on SoCs covering RTL-to-GDSII flows.
• Proficiency with EDA tools like Synopsys ICC2/Fusion Compiler Cadence Innovus/Genus or Mentor Calibre for synthesis PNR STA and verification.
• Strong knowledge of STA (PrimeTime/Tempus) power analysis and congestion mitigation techniques.
• Experience with scripting (TCL Python Perl) for flow automation and debugging.
• Familiarity with advanced nodes multi-corner multi-mode (MCMM) analysis and IP integration.
• Analytical mindset for tackling complex timing/power challenges and effective cross-team communication.

Preferred Qualifications

• Experience with custom silicon for automotive high-performance computing or AI applications.
• Proactive in adopting new tools flows and best practices for re-use and efficiency.
• Detail-oriented team player committed to quality and on-time delivery.