Circuit Design

Circuit Design Data Jobs

3 jobs found

1mo ago

Applied Machine Learning Engineer - AI for VLSI Design

NVIDIA Santa Clara, CA

Santa Clara, CA

1mo ago Closed

$152k - $265k/yr Full time Electrical Engineering Artificial Intelligence Circuit Design

This position is no longer accepting applications (closed Oct 24, 2026).

Job Description

Applied Machine Learning Engineer role focused on building AI-driven software systems for VLSI and circuit design in NVIDIA’s Circuit Solutions Group (hybrid in Santa Clara, CA).

Responsibilities

Collaborate in a multi-functional team across projects for pre-silicon and post-silicon custom circuit design
Work with data related to Circuit/Layout Optimization and Spice correlation
Research and implement frontier electronic design automation (EDA) techniques
Build and improve agentic AI solutions for VLSI design problems
Analyze problems and datasets, raise and validate hypotheses, and design/build models and algorithms
Iterate on models/algorithms to achieve the desired QOR

Requirements

MS in Electrical/Computer Engineering (or equivalent experience) with 3+ years experience
OR PhD with 1+ years experience in Electrical/Computer Engineering
Strict requirement: experience in Combinatorial Optimization, Agentic AI and large language models, and Machine Learning for Chip Design & EDA
Proven ability in Algorithms/Data Structures/Applied Math/Machine Learning and software programming
Proven ability to write code in Python and C++
Experience in Applied Math/Machine Learning/Software programming with proven ability to write code in Python and C++

Technologies

Python
C++

Benefits

Eligibility for equity and benefits

Ways to Stand Out

Prior experience in large-scale EDA software development (plus)
Prior experience in CMOS layout drawing, including schematic-to-layout translation and DRC/LVS compliance (definite plus)
Enjoy working across multiple levels and teams across organizations (engineering/research, product, sales and marketing)
Effective verbal and written communication, plus technical presentation skills
Self-starter with enthusiasm for continuous learning and sharing findings with the team

Location: Santa Clara, CA (hybrid)

Salary: USD 152,000 - 264,500 per year

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3mo ago

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

NVIDIA Santa Clara, CA

Santa Clara, CA

3mo ago Closed

$116k - $219k/yr Full time Electrical Engineering Ai Assisted Engineering Artificial Intelligence

This position is no longer accepting applications (closed Aug 16, 2026).

Job Description

Applied Machine Learning Engineer, Circuit Design for New College Grad 2026 at NVIDIA in Santa Clara, CA (hybrid) with a salary range of USD 116,000 - 218,500 per year.

Responsibilities

Collaborate in a cross-functional team on programs spanning pre-silicon and post-silicon hardware design data, circuit optimization, SPICE correlation, and AI powered design automation.
Contribute to projects across silicon data analysis, manufacturing process variation analysis, VLSI circuit design and timing, and agent driven design exploration with optimized agent flows.
Translate stakeholder requirements into data science, AI/ML, and agent-based system problems; design architectures and implement end-to-end solutions.
Develop, validate, and release models and AI systems that integrate with existing machine learning, design automation, and visualization tools.
Analyze datasets, formulate and validate hypotheses, extract meaningful features, and build models plus self-improving workflows atop them.
Refine models, algorithms, and autonomous optimization loops until the desired QOR is achieved.

Requirements

Master’s degree or PhD in Electrical or Computer Engineering, Computer Science, or Applied Mathematics, or equivalent practical experience.
Strong background in circuit design, VLSI, ASIC, EDA, silicon analysis, or custom circuit design.
Demonstrated experience at the intersection of applied math, machine learning, and software development, with proficiency in Python and C++.

Technologies

Python
C++
PyTorch
LangChain
LangGraph
SPICE

Benefits

Equity
Benefits

Ways to Stand Out

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.
Background creating agent-based systems, autonomous optimization loops, self-improving AI platforms, or production-scale AI/ML pipelines.
Proficiency with deep learning algorithms and AI agent frameworks; hands-on use of PyTorch, LangChain, or LangGraph is highly beneficial.

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3mo ago

Senior Applied Machine Learning Engineer - VLSI Design

NVIDIA Santa Clara, CA

Santa Clara, CA

3mo ago Closed

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

This position is no longer accepting applications (closed Aug 12, 2026).

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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Circuit Design Data Jobs

Applied Machine Learning Engineer - AI for VLSI Design

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

Senior Applied Machine Learning Engineer - VLSI Design

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