Job Summary:
The Staff Digital Implementation Engineer is a technical leader responsible for driving complex ASIC implementation from synthesis to signoff. This role involves defining methodologies, solving high-impact design challenges, and providing technical guidance across teams. The ideal candidate has deep expertise in digital implementation flows and a strong ability to optimize PPA while ensuring design closure.

Key Responsibilities:

• Digital Design Implementation: Lead and optimize synthesis, place and route, and timing closure efforts for large-scale designs, ensuring power, performance, and area (PPA) targets are met.
• Timing Closure: Drive static timing analysis, signal integrity checks, and power optimization across multiple corners and modes.
• Collaboration: Partner with RTL, verification, and physical design teams to resolve implementation challenges and enhance design convergence.
• Methodology Development: Define and improve digital implementation methodologies, ensuring efficiency and best practices across projects.
• Tool Utilization: Leverage advanced features of EDA tools (e.g., Synopsys ICC2, Cadence Innovus, PrimeTime) to drive implementation quality.
• Debugging and Troubleshooting: Lead resolution of complex DRC/LVS violations, timing bottlenecks, and physical design constraints.
• Documentation: Establish and maintain best practices documentation for design implementation processes.
• Mentorship: Provide technical mentorship to engineers at all levels, fostering skill development and innovation within the team.

Key Qualifications

• Bachelor’s degree in Electrical Engineering, Computer Engineering, or a related field. Master’s/PhD is a plus.
• 10+ years of experience in ASIC digital implementation, with a strong track record of leading design tape outs..
• Expertise in synthesis, PnR, STA, and signoff methodologies.
• Deep knowledge of EDA tools like Synopsys Design Compiler, Cadence Innovus, and PrimeTime.
• Hands-on experience with low-power design techniques and multi-corner signoff.
• Strong scripting and automation skills (TCL, Perl, Python).
• Familiarity with DFT insertion and verification methodologies.