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

at Nvidia

USD 116,000-218,500 per year

JUNIOR

✅ Hybrid

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 3 Agentic Systems @ 3 Algorithms @ 3 Data Analysis Data Science Deep Learning @ 3 LangChain @ 3 Machine Learning @ 3 Mathematics @ 3 PyTorch @ 3 Python @ 3

Details

NVIDIA's team builds AI-driven software systems for circuit design, combining automation algorithms, deep learning models, and agentic workflows to accelerate end-to-end design automation.

Responsibilities

Work within a multifunctional team on projects involving pre-silicon and post-silicon hardware design data, circuit optimization, SPICE correlation, and AI systems for EDA and design automation.
Develop applications for silicon data analysis, manufacturing process variation analysis, VLSI circuit design, timing, 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.
Analyze datasets, raise and validate hypotheses, extract relevant features, and build models and self-improving workflows.
Optimize models, algorithms, and autonomous optimization systems until they reach the desired quality of results.

Requirements

Master's or PhD in Electrical or Computer Engineering, Computer Science, or Applied Mathematics, or equivalent experience.
Knowledge of circuit design, VLSI, ASIC, EDA, silicon analysis, or custom circuit design.
Prior experience in applied mathematics, machine learning, or software programming.
Proven ability to write code in Python and C++.

Preferred Qualifications

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, PyTorch, LangChain, or LangGraph.

Compensation And Benefits

The base salary range is USD 116,000–189,750 for Level 2 and USD 136,000–218,500 for Level 3. Salary is determined based on location, experience, and compensation for similar positions. The role also includes eligibility for equity and benefits.