Hardware Software Co Design Data Jobs

1 job found

13d ago

Senior Applied Machine Learning Engineer - VLSI Design

NVIDIA Santa Clara, CA

Santa Clara, CA

13d ago

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

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Job Description

Senior Applied Machine Learning Engineer focusing on VLSI/EDA design automation at NVIDIA, building data science and AI/agentic systems to accelerate pre- and post-silicon hardware design and circuit optimization, with integration into existing tools.

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/design automation.
Contribute to applications spanning 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 robust solutions.
Test and release 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 develop models and self-improving workflows on top of them.
Optimize models, algorithms, and autonomous optimization systems until achieving the desired quality of results (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/Software programming with proven ability in Python and C++.
Experience with deep learning algorithms and AI agent frameworks; familiarity with 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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