Nvidia

Applied Machine Learning Engineer - AI for VLSI Design

Nvidia
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10 days ago
Santa Clara, CA, USASenior / Staff+
H1B sponsor

Base Salary

$152k - $265k/yr

Responsibilities

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

Requirements

  • Master’s degree or equivalent experience with 3+ years of experience, or PhD with 1+ years of experience, in Electrical or Computer Engineering.
  • Strict requirement for experience in 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, and machine learning.
  • Preferred experience includes large-scale EDA software development, CMOS layout drawing, schematic-to-layout translation, and DRC/LVS compliance.
  • Strong communication, technical presentation, collaboration, autonomy, and continuous-learning skills are preferred.

Benefits

  • Hybrid work arrangement.
  • Equity and benefits are provided.
  • Applications are accepted at least until November 3, 2026.
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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