NVIDIA
AI Computing
AppliedMachineLearningEngineer,CircuitDesign-NewCollegeGrad2026
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“Applied Machine Learning Engineer, Circuit Design - New College Grad 2026 at NVIDIA. Skills: Applied Machine Learning, Circuit Design, AI Systems for EDA, Deep Learning, Agentic Systems. Work 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 ”
What You'll Achieve.
Accelerate end-to-end design automation; Reach the desired QOR (Quality of Results)
Industry & Context.
Solving some of the most complex problems in computer science; Optimize models, algorithms, and autonomous optimization systems until they reach the desired QOR
What They're Looking For.
Must Have
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++
Nice to Have
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
What You'll Do.
Work on projects involving pre-silicon and post-silicon hardware design data
and AI systems for EDA/design automation
Work on applications ranging from silicon data analysis
manufacturing process variation analysis
and agent-driven design exploration and agent flow optimization
Translate requirements into data science
and agentic system architect and build solutions
Test and release models and AI systems that integrate with existing machine learning
and visualization tools within the organization
raise and validate hypotheses
extract relevant features
and build models and self-improving workflows on top of them
and autonomous optimization systems until they reach the desired QOR
How You'll Work.
Team & Collaboration
Work within a multi-functional team
Full Job Description
Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. 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. **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 c
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