Applied Machine Learning Engineer, Circuit Design - New College Grad 2026

Nvidia

Remote Actively hiring
Santa Clara, CA Posted 37 days ago $116,000–$189,750 / year
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At a glance

AI generated

TL;DR

As a Senior Data Scientist joining our AI-driven software systems team for circuit design, you will collaborate with multi-functional teams to develop automation algorithms, deep learning models, and agentic workflows that enhance end-to-end design automation. Your daily tasks include translating complex requirements into data science and AI/ML problems, architecting solutions, testing models, and integrating them with existing tools like PyTorch and LangChain. You will analyze datasets, build predictive models, and optimize autonomous systems to achieve high-quality results in areas such as silicon data analysis, VLSI circuit design, and agent-driven exploration. This role requires a Master's or PhD in Electrical/Computer Engineering, Computer Science, or Applied Mathematics, along with expertise in circuit design, EDA, and experience in Python and C++ programming for AI systems.

Skills

Python C++ PyTorch LangChain LangGraph EDA VLSI ASIC AI/ML Deep Learning Agentic Systems Autonomous Optimization CI/CD

What you'll do

  • Translate complex requirements into AI/ML problems for EDA applications.
  • Architect and build AI-driven solutions for circuit optimization and design automation.
  • Test and integrate AI systems with existing machine learning and visualization tools.
  • Analyze datasets to extract relevant features and build predictive models.
  • Optimize autonomous design exploration workflows using deep learning algorithms.
  • Develop self-improving agentic systems for end-to-end design automation.

What we're looking for

  • Master's or PhD in Electrical/Computer Engineering, Computer Science, or Applied Mathematics
  • Proven experience in circuit design, VLSI, ASIC, EDA, silicon analysis, or custom circuit design
  • Strong skills in Python and C++ programming for AI/ML applications
  • Experience building AI systems for EDA and design automation workflows
  • Background in AI-driven EDA, circuit optimization, and autonomous design systems
  • Knowledge of deep learning algorithms and tools like PyTorch, LangChain, or LangGraph

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $208k
This role $153k
$101k most similar roles pay here $260k

This role pays less than 88% of similar roles. Most pay $170,696–$244,537 — the shaded band above. At the midpoint, this role pays about $153k versus about $208k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 824 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 812 roles with salary data.

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