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ASIC Physical Design Engineer

NVIDIA Corporation

China, ShanghaiRTL / HDLVerificationCompilersPhysical designSoC / ASICPosted Oct 5, 2026
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Skills named in this posting

  • Formal verification
  • STA
  • Python
  • Perl
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 experience 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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Original posting: jobs.nvidia.com

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RISC-V ecosystem

NVIDIA Corporation in the RISC-V ecosystem

RISC-V International: Premier Board

Founded in 1993, NVIDIA is an AI computing company. The company is headquartered in Santa Clara, California.

  • NVIDIA is bringing CUDA platform support to RISC-V, i.e. allowing a RISC-V CPU to host CUDA GPU applications
  • Publicly credited the RVA23 profile as the enabler: "We wouldn't have considered porting CUDA to RISC-V without it"
  • Active in RISC-V International profile/standards work and a frequent presence in RISC-V ecosystem coverage

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