The Physical Design Engineer delivers hands-on expertise in designing and implementing custom silicon solutions to meet detailed customer requirements. This role executes physical design flows—including synthesis, place-and-route, and verification—while applying standardized methodologies for efficient IP reuse, rapid turnaround, and high-quality tape-outs.
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
- Bachelor’s or Master’s 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.
