N

NVIDIA

Designs the chips and software that power AI

ASIC Physical Design and Timing Engineer

Silicon & ASIC DesignConfirmed live in the last 24 hours
Full-timeUnited StatesIn-person

About the Job

Requirements

  • A Master's degree or higher in Electrical or Computer Engineering, or equivalent experience.
  • Proficiency in timing and static timing analysis (STA).
  • Hands-on experience in full-chip or sub-chip STA and timing convergence, and in generating and managing timing constraints.
  • Expertise with industry-standard electronic design automation and timing convergence tools.

Responsibilities

  • Drive physical design and timing analysis and closure for GPUs, CPUs, DPUs, and systems-on-chip at block, cluster, and/or full-chip level.
  • Help drive frontend and backend implementation, including synthesis, equivalence checking, floor-planning, timing constraints, timing and power convergence, and engineering change order implementation.
  • Work in a cross-functional environment, interacting with multiple teams.

Desired Qualifications

  • Proven experience in timing convergence for ASICs, CPUs, GPUs, or network processors.
  • Knowledge of deep sub-micron process nodes.
  • Proficiency in artificial intelligence, large language models, and programming languages.
  • Experience in physical design and optimization, such as synthesis, floorplanning, placement, clock tree synthesis, routing, and power.

About the Company

NVIDIA

Designs the chips and software that power AI

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.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

Recently Posted Jobs

Explore more opportunities at NVIDIA

See more jobs