ASIC Physical Design Engineer
NVIDIAJob Title
ASIC Physical Design Engineer
Role Summary
Work on physical design from RTL to GDSII focusing on timing closure, synthesis, constraint development, partitioning, and related flows. The role collaborates with P&R, DFT, SI, architecture and other teams to drive physical-friendly design and support advanced process technologies.
Experience Level
Entry-level / Junior (preferred) — 1+ year of relevant IC implementation or physical design experience is preferred. The team hires across experience levels.
Responsibilities
Deliver and improve physical-design flows and achieve timing closure at block and full-chip levels.
- Perform static timing analysis (STA) for hierarchical designs.
- Create and validate timing constraints and timing budgets.
- Drive timing closure at partition and full-chip levels, including special timing domains (I/O, test, clocks).
- Run synthesis, netlist quality checks, and formal verification.
- Implement chip partitioning and floorplanning.
- Create and manage functional ECOs and fixes.
- Develop and enhance timing-closure flows from pre-layout to post-layout.
- Automate flows and improve methodology across physical-design toolchains and teams.
Requirements
Key skills and preferred qualifications.
- Project experience in IC design implementation (must-have).
- Proficient in English reading and writing (must-have).
- Experience with EDA tools (e.g., Synopsys DC/ICC/PT/Formality; Cadence Genus/RC/LEC) is helpful.
- Scripting skills (Python, Perl, or TCL) are helpful; strong scripting ability is a differentiator.
Education Requirements
MS in Electrical Engineering, Computer Science, or Microelectronics preferred; 1+ year of relevant experience preferred. Relevant coursework includes circuit design and digital design. No explicit mention of acceptable equivalent-experience language was provided.
About the Company
Company: NVIDIA
Headquarters: Santa Clara, California, USA
NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.
