Physical Design and Timing Engineer Intern

Nvidia

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Work type
On-site
Location
Santa Clara, CA
Employment
Full-time
Posted
42 days ago
Freshness
Confirmed live today

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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1763 open roles on FindRole.

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TL;DR · Physical Design and Timing Engineer Intern

JOB TITLE: Physical Design and Timing Engineer Intern - Summer 2027 The Physical Design and Timing Engineer Intern joins a dynamic team to drive physical design, power, and timing closure for high-frequency and low-power designs. This role involves driving frontend and backend implementation from RTL to GDSII while running physical design experiments to develop new flows and methodologies. Candidates must possess knowledge of Static Timing Analysis, power analysis, power reduction, logic synthesis, and equivalence checking. Required skills include experience with physical optimization tasks like placement, routing, and clock tree construction. Proficiency in industry-standard EDA tools from Cadence, Synopsys, or Siemens is necessary, along with scripting in Perl, Tcl, Make, and Python. The work specifically addresses the technical challenges of design automation and physical design workflows using AI and ML techniques.

What you'll do

  • Drive physical design, power, and timing closure for high-frequency and low-power designs.
  • Execute frontend and backend implementation tasks from RTL to GDSII.
  • Run physical design experiments to improve design outcomes.
  • Develop new flows and methodologies for physical design processes.
  • Apply AI/ML techniques to accelerate design, analysis, and automation tasks.
  • Perform Static Timing Analysis (STA) and power reduction analysis.
  • Utilize industry-standard EDA tools for logic synthesis and equivalence checking.
  • Write scripts in Perl, Tcl, Make, or Python to automate design tasks.

What we're looking for

  • Pursuing an MS or Ph.D. in Electrical or Computer Engineering.
  • Familiarity with applying AI/ML techniques to physical design workflows to accelerate design, analysis, or automation tasks.
  • Knowledge of or experience with Static Timing Analysis (STA), power analysis, and power reduction.
  • Some experience in logic synthesis and equivalence checking.
  • Experience with physical optimization, such as placement, routing, and clock tree.
  • Some background in industry-standard EDA tools like Cadence, Synopsys, or Siemens.
  • Proficiency in programming and scripting languages such as Perl, Tcl, Make, and Python.
  • Hands-on experience applying AI/ML models or LLM-based tools to solve EDA or physical design problems (preferred).

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