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

**Company**: NVIDIA
**Location**: Santa Clara
**Work arrangement**: hybrid
**Experience**: entry
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Applied-Machine-Learning-Engineer--Circuit-Design---New-College-Grad-2026_JR2011517?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_ba397da2-df3

## Description

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team!

Our team builds AI-driven software systems for circuit design, combining automation algorithms, DL models, and agentic workflows to accelerate end-to-end design automation.

### Responsibilities

- Work within a multi-functional team on projects involving pre-silicon and post-silicon hardware design data, circuit optimization, SPICE correlation, and AI systems for EDA/design automation.

- Work on applications ranging from silicon data analysis, manufacturing process variation analysis, VLSI circuit design, timing, and agent-driven design exploration and agent flow optimization.

- Translate requirements into data science, AI/ML, and agentic system problems; architect and build solutions.

- Test and release models and AI systems that integrate with existing machine learning, design automation, and visualization tools within the organization.

- Analyze datasets, raise and validate hypotheses, extract relevant features, and build models and self-improving workflows on top of them.

- Optimize models, algorithms, and autonomous optimization systems until they reach the desired QOR.

### Requirements

- Master's or PhD in Electrical or Computer Engineering, Computer Science, or Applied Mathematics (or equivalent experience).

- Knowledge in circuit design, VLSI, ASIC, EDA, silicon analysis, or custom circuit design is required.

- Prior experience in Applied Math/ML/Software programming with proven ability in writing code in Python and C++.

### Ways to Stand Out

- Experience building AI systems for EDA, design automation, or circuit design workflows.

- Research or project experience in AI-driven EDA, circuit optimization, design-space exploration, or autonomous design systems.

- Experience building agentic systems, autonomous optimization loops, self-improving AI systems, or production-scale AI/ML platforms.

- Experience with deep learning algorithms, AI agent frameworks, and tools such as PyTorch, LangChain, or LangGraph is a definite plus.

## Skills

### Required
- circuit design
- VLSI
- ASIC
- EDA
- silicon analysis
- custom circuit design
- Python
- C++
- deep learning algorithms
- AI agent frameworks
- PyTorch
- LangChain
- LangGraph

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Applied-Machine-Learning-Engineer--Circuit-Design---New-College-Grad-2026_JR2011517?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)