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

Note: The job is a remote job and is open to candidates in USA. NVIDIA is dedicated to visual and AI computing, having pioneered GPU technology for complex computing problems. They are seeking an Applied Machine Learning Engineer to work on AI-driven software systems for circuit design, focusing on automation algorithms and deep learning models to enhance design automation processes.

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

Skills

• 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++
• 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

Benefits

• You will also be eligible for equity and benefits.

Company Overview

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