Agent Based Design Engineer Jobs

1 job found

6d ago

Senior Applied Machine Learning Engineer - VLSI Design

NVIDIA Santa Clara, CA

Santa Clara, CA

6d ago

$152k - $265k/yr Full time Senior Agent Based Design Analytics

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Job Description

Senior Applied Machine Learning Engineer specializing in VLSI design automation at NVIDIA. The role focuses on building data science and AI driven systems to accelerate pre-silicon and post-silicon hardware design and circuit optimization, with integration into existing EDA tools and workflows.

Responsibilities

Collaborate 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 and design automation.
Develop applications spanning silicon data analysis, manufacturing process variation analysis, VLSI circuit design, timing, and agent-driven design exploration and flow optimization.
Translate requirements into data science, AI/ML, and agentic system problems; architect and implement robust solutions.
Test and deploy models and AI systems that integrate with existing machine learning, design automation, and visualization tools across the organization.
Analyze datasets, formulate and validate hypotheses, extract relevant features, and construct models and self-improving workflows on top of them.
Refine models, algorithms, and autonomous optimization systems to achieve the desired QOR.

Requirements

MS or PhD in Electrical/Computer Engineering, Computer Science, Applied Mathematics, or equivalent experience.
4+ years of experience in circuit design, VLSI, ASIC, EDA, silicon analysis, or custom circuit design.
Experience in Applied Math, ML, or software programming with proven ability in Python and C++.
Experience with deep learning algorithms, AI agent frameworks, and tools such as PyTorch, LangChain, or LangGraph is a definite plus.

Technologies

Python
C++
PyTorch
LangChain
LangGraph

Benefits

Equity
Benefits

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.
Effective verbal and written communication and technical presentation skills.
Self-starter with a passion for growth, continuous learning, and sharing findings across the team.

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