Nvidia

Applied Machine Learning Engineer - AI for VLSI Design

Nvidia
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1 day ago
Santa Clara, CA, USASenior / Staff+
H1B sponsor

Base Salary

$152k - $265k/yr

Responsibilities

  • Collaborate on pre-silicon and post-silicon custom circuit design, circuit/layout optimization, and SPICE correlation projects.
  • Research and implement frontier electronic design automation techniques.
  • Build agentic AI solutions for VLSI design problems.
  • Analyze problems and datasets, validate hypotheses, and develop models and algorithms to achieve target quality of results.

Requirements

  • MS or equivalent experience with 3+ years of experience, or PhD with 1+ years of experience, in electrical or computer engineering.
  • Required experience with combinatorial optimization, agentic AI and large language models, and machine learning for chip design and EDA.
  • Proven programming ability in Python and C++, with experience in algorithms, data structures, applied mathematics, machine learning, and software programming.
  • Preferred qualifications include large-scale EDA software development, CMOS layout drawing, schematic-to-layout translation, and DRC/LVS compliance.
  • Strong communication, technical presentation, collaboration, initiative, and continuous-learning skills are preferred.

Benefits

  • Hybrid work arrangement.
  • Eligible for equity and benefits.

Tech Stack

Categories

Nvidia

About Nvidia

10,000+ employees

Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.

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