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NVIDIA

Designs the chips and software that power AI

Senior ASIC Timing Design Engineer

Silicon & ASIC DesignConfirmed live in the last 24 hours
Full-timeWestford, MA, USAIn-person

About the Job

Requirements

  • A Bachelor of Science or equivalent experience in Electrical or Computer Engineering with 8 years of experience, or a Master of Science with 4 or more years of experience in synthesis and timing.
  • Hands-on experience in full-chip or sub-chip Static Timing Analysis (STA), timing-constraint generation and management, and timing convergence.
  • Expertise in analyzing and fixing timing paths through engineering change orders (ECOs), including crosstalk and noise analysis.
  • Expertise in physical design and optimization, including placement, routing, cell sizing, buffering, and logic restructuring, to improve timing and power, with experience implementing these through ECOs.
  • Background in logic synthesis and/or logical equivalence checking (LEC).
  • Expertise and in-depth knowledge of industry-standard electronic design automation tools, such as Synopsys PrimeTime or Cadence Tempus.
  • Proficiency in Python, Tcl, and Make for automation and scripting tasks.

Responsibilities

  • Drive physical design and timing of high-frequency and low-power DPUs and SoCs at block, chiplet, and/or full-chip level.
  • Analyze and optimize design constraints and synthesis parameters to achieve performance, power, and area targets.
  • Help drive frontend and backend implementation from RTL to GDSII, including synthesis, equivalence checking, floor planning, timing constraints, timing and power convergence, and ECO implementation.

Desired Qualifications

  • Background in domain-specific STA and timing convergence, such as CPU, GPU, network processor, or SoC implementation.
  • Understanding of DFT logic and experience with DFT timing closure for various modes, such as scan shift and capture, transition faults, and BIST.
  • Knowledge of deep sub-micron technology and associated process-variation effects, including modeling and convergence while considering process variations.
  • Experience in methodology and/or flow development, as well as automation.

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

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