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ASIC Physical Design Engineer

Own end-to-end ASIC physical design flow from RTL to GDSII
Hsinchu, Taiwan
2 days ago
NVIDIA

NVIDIA

Designs advanced GPUs, AI computing platforms, and related technologies powering graphics, data centers, autonomous machines, and high-performance computing.

Job Posting

ASIC-PD team is hiring both junior and senior engineers, whose work scope is physical design from RTL to GSDII: design quality check, synthesis, formal check, partitioning, constraint (for both design and process), async check, timing analysis/fixing/signoff, also all related flow. Join us, you will work together with expertise in all these areas; you will not only work for physical application, but also drive physical friendly design with all related teams: ASIC/P&R/DFT/SI/ARCH etc.; you will work for the most advanced process/technology, the biggest chip in the world.

What you'll be doing:

  • STA for hierarchical design.
  • Constraints creation and validation, timing budget.
  • Timing closure for both partition and full chip level.
  • Special timing closure, such as io, test, clock etc.
  • Synthesis, Netlist quality check, Formal Verification.
  • Implement chip partition and floorplan.
  • Function eco creation.
  • Develop and enhance entire timing closure flow from frontend (pre-layout) to backend (post-layout).
  • Flow automation development, Methodology in any of above areas.

What we need to see:

  • MS in EE, CS or Microelectronics with 1+ year is preferred
  • Project experience in IC design implementation.
  • Courses taken in circuit design, digital design
  • Hand-on experience in EDA software from Synopsys (FC/DC/PT/Formality), Cadence (RC compiler/Genus/LEC) is helpful
  • Proficient user of Python, perl or TCL is helpful
  • Proficient in English reading and writing

Ways to stand out from the crowd:

  • Proficient user of Perl, Python or TCL is preferred.
  • Excellent English communication skill.
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ASIC Physical Design Engineer
Hsinchu, Taiwan
Engineering
About NVIDIA
Designs advanced GPUs, AI computing platforms, and related technologies powering graphics, data centers, autonomous machines, and high-performance computing.