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

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 116,000 - 189,750; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Gruppe in Santa Clara, California, is seeking experts for AI-driven software systems in circuit design. As part of a multi-functional team, you will optimize hardware design data and develop AI solutions for design automation.

The ideal candidate holds a Master's or PhD in a relevant field and has a strong background in circuit design, VLSI, and programming with Python and C++. Competitive salary and benefits are provided.

Qualifications

• Knowledge in circuit design, VLSI, ASIC, EDA, or custom circuit design.
• Prior experience in software programming and proven ability in coding.

Responsibilities

• Work within a multi-functional team on hardware design data and AI systems.
• Optimize models and algorithms until desired optimization quality is achieved.
• Test and release AI systems that integrate with existing visualization tools.

Skills

Python

C++

Circuit design

VLSI

ML/AI programming

Education

Master's or PhD in Electrical or Computer Engineering, Computer Science, or Applied Mathematics

Tools

PyTorch

LangChain

LangGraph

Job description

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.

What you'll be doing:

• 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.

What we need to see:

• 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 from the crowd:

• 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.

Salary and benefits

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 116,000 USD - 189,750 USD for Level 2, and 136,000 USD - 218,500 USD for Level 3.

You will also be eligible for equity and benefits.

Equal Opportunity Statement

NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.