ASIC Floorplan Engineer - New Grad, Equity Eligible

NVIDIA Corporation

Santa Clara (CA)

Hybride

USD 116 000 - 219 000

Plein temps

14 jours+

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Résumé du poste

NVIDIA Corporation in Santa Clara, CA is seeking a new college graduate to join our ASIC Floorplan Design team. You will help craft floorplans, participate in area reviews, and work with design leads to optimize area, power, and timing early in chip development.

The role requires a Masters in EE/CS/CE or equivalent, experience with Verilog/SystemVerilog, CAD/flow tools, and programming in Python, Perl, or C/C++. You will join a collaborative, fast-paced environment at the frontier of AI hardware.

Qualifications

  • Masters Degree in Electrical Engineering, Computer Science, or Computer Engineering or equivalent experience.
  • Experience in Verilog, SystemVerilog or HVL.
  • Experience with CAD and physical design methodologies, floorplanning, P&R and timing closure.
  • Strong communication and teamwork; programming in Python, Perl, C/C++.

Responsabilités

  • Develop and craft floorplans during early chip development.
  • Drive area review process and collaborate with ASIC design team on improvements.
  • Solve timing and routing congestion with physical and ASIC teams; build tools to optimize area and speed.

Connaissances

Verilog
SystemVerilog
VLSI
Computer Architecture
Python
C/C++
P&R
Timing closure
Teamwork

Formation

Masters degree in Electrical Engineering, Computer Science, or Computer Engineering

Outils

CAD tools
P&R tools
EDA flows

Description du poste

NVIDIA Corporation in Santa Clara, CA is seeking a new college graduate to join our ASIC Floorplan Design team. You will help craft floorplans, participate in area reviews, and work with design leads to optimize area, power, and timing early in chip development.

The role requires a Masters in EE/CS/CE or equivalent, experience with Verilog/SystemVerilog, CAD/flow tools, and programming in Python, Perl, or C/C++. You will join a collaborative, fast-paced environment at the frontier of AI hardware.

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