Agent Based Design Developer Jobs

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1d ago

Senior Applied Machine Learning Engineer - VLSI Design

NVIDIA Santa Clara, CA

Santa Clara, CA

1d ago

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

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Job Description

NVIDIA in Santa Clara, California is seeking a Senior Applied Machine Learning Engineer focused on VLSI design automation. This role blends data science, AI systems, and agentic approaches to accelerate both pre-silicon and post-silicon hardware design and circuit optimization, with integration into existing tools in the EDA ecosystem. The position offers a hybrid work arrangement and a salary range of USD 152,000 to 264,500 per year. A minimum of four years of relevant experience and an MS or PhD in Electrical/Computer Engineering, Computer Science, or Applied Mathematics are expected.

Responsibilities

Collaborate within a cross-functional team on projects involving pre-silicon and post-silicon hardware design data, circuit optimization, SPICE correlation, and AI-driven design automation workflows.
Contribute to 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, ML, and agent-based system problems; architect and implement solutions.
Test and deploy models and AI systems that integrate with existing machine learning, design automation, and visualization tools within the organization.
Analyze datasets, formulate and validate hypotheses, extract relevant features, and build models plus self-improving workflows on top of them.
Refine models, algorithms, and autonomous optimization systems until the desired QOR is reached.

Requirements

MS/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.
Demonstrated ability in Python and C++ with a background in applied mathematics, ML, or software development.
Experience with deep learning algorithms and AI agent frameworks; familiarity with PyTorch, LangChain, or LangGraph is a 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 work in AI-driven EDA, circuit optimization, design-space exploration, or autonomous design systems.
Experience developing agentic systems, autonomous optimization loops, self-improving AI systems, or production-scale AI/ML platforms.
Strong verbal and written communication skills and the ability to present technical content effectively.
Self-motivated with a passion for growth, continuous learning, and sharing findings with the team.

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