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Applied Machine Learning Engineer, AI for VLSI Design - New College Grad 2026

NVIDIA· Data Scientist
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Santa Clara, CA$116k - $184kFull-timePosted 3w ago

About the role

Role focused on AI-driven software systems for Circuit Design, combining automation algorithms, DL models, and agentic workflows to accelerate end-to-end design automation in NVIDIA's Circuit Solutions Group.

Responsibilities

  • Work within a multi-functional team on various projects involving Pre-silicon and Post Silicon custom circuit design and related data, Circuit/Layout Optimization and Spice correlation.
  • Research and implement techniques on frontier solutions of electronic design automation.
  • Build and innovate agentic AI solution for VLSI design problem.
  • Responsible for analyzing the problem or datasets, raise and validate hypotheses, design and build models and algorithm until they reach the desired QOR.

Qualifications

  • MS or PhD in Electrical/Computer Engineering degree (or equivalent experience).
  • Experience in: Combinatorial Optimization, Agentic AI and large language models, Machine Learning for Chip Design & EDA
  • Background in Algorithms/Data Structures.
  • Experience in Applied Math/Machine Learning/Software programming with shown ability in writing code in Python, C++.

Skills

Required:Combinatorial OptimizationAgentic AILarge language modelsMachine LearningPythonC++

Benefits

  • equity
  • benefits (per NVIDIA benefits)
Last updated Oct 2, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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