ASIC Physical Design Engineer
NVIDIA
ASIC Physical Design Engineer
NVIDIA
Designs the chips and software that power AI
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.
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.
NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.
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