ASIC Physical Design Engineer
Overview
- Added in 30 days
- 647
- At this company, still open
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.
Apply on the employer's site
Original posting: jobs.nvidia.com
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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