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NVIDIA

Designs the chips and software that power AI

Applied Machine Learning Engineer - AI for VLSI Design

Applied Machine LearningConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A Master's or PhD degree in Electrical Engineering or Computer Engineering, or equivalent experience.
  • Experience in combinatorial optimization, agentic artificial intelligence and large language models, and machine learning for chip design and electronic design automation is strictly required.
  • Background in algorithms and data structures.
  • Experience in applied mathematics, machine learning, or software programming, with demonstrated ability to write code in Python and C++.

Responsibilities

  • Work within a multifunctional team on projects involving pre-silicon and post-silicon custom circuit design and related data, circuit/layout optimization, and SPICE correlation.
  • Research and implement techniques for frontier electronic design automation solutions.
  • Build and innovate agentic artificial intelligence solutions for VLSI design problems.
  • Analyze problems or datasets, raise and validate hypotheses, and design and build models and algorithms until they achieve the desired quality of results.

Desired Qualifications

  • Prior background in large-scale electronic design automation software development.
  • Prior experience in CMOS layout drawing, including schematic-to-layout translation and design-rule-checking/layout-versus-schematic compliance.
  • Effective verbal and written communication and technical presentation skills.

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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