CPU Physical Design (RTL to GDS)
NUVACORE · Austin, TX · 2 wk ago
HybridArt & CreativeFull-time
Responsibilities
- Responsible for evaluating RTL and micro-Architecture designs, providing feasibility assessments and actionable feedback.
- Responsible for driving end-to-end design closure from RTL to GDS/Tape-out, ensuring target PPAS (Power, Performance, Area & Schedule) commitments are met.
- Responsible for coordinating and aligning with CAD, RTL/µ-arch, and other partner teams to ensure seamless execution throughout the design cycle.
- Responsible for leading and influencing the definition and adoption of Tools, Flows, and Methodology (TFM) to drive design efficiency and establish team-wide best practices.
Requirements
Must have:
- Hold a BS or MS degree with 12+ years of experience (for Lead roles) or 5+ years of experience (for Individual Contributor roles) in CPU physical design.
- Proficient in industry-standard EDA tools with experience applied to CPU design workflows.
- Demonstrated track record of successfully delivering production-level designs through tape-out.
- Proven experience in PPA optimization across CPU units and design blocks.
- Deep understanding of end-to-end physical design closure, spanning all signoff domains.
- Well-versed in timing constraints for both Functional and DFT (Design for Test) modes.
- Strong communication and collaboration skills.
Nice to have:
- Possess substantial years of experience in CPU unit-level implementation.
- Demonstrate ability to translate architectural intent into physical design decisions.
- Bring proven experience in PPA-focused design execution for CPUs, including hands-on tool optimization to achieve power, performance, and area targets.
- Hold a deep understanding of Physical Design (PD) signoff checks and methodologies, including FEV, VCLP, EM/IR, STA/EXT, and associated closure flows.
- Exhibit thoroughness and precision in ECO (Engineering Change Order) flows.
- Proficient in Python, Perl, or TCL to enhance design productivity and flow efficiency.
- Experience in using Agentic AI tools for productivity and automation.