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NVIDIA

Applied Machine Learning Engineer - AI for VLSI Design

US, CA, Santa Clarayesterday

About NVIDIA

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world.

About the Role

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. Come join this integral team in our Circuit Solutions Group!

Responsibilities

  • Work within a multi-functional team on various projects involving Pre-silicon and Post Silicon custom circuit design and related data
  • Circuit/Layout Optimization and Spice correlation
  • Research and implement techniques on frontier solutions of electronic design automation
  • Build and innovate agentic AI solution for VLSI design problem
  • Analyze problems or datasets, raise and validate hypotheses, design and build models and algorithms until they reach the desired QOR

Requirements

Education & Experience:

  • MS (or equivalent experience) with 3+ years' experience, or PhD with 1+ years' experience in Electrical/Computer Engineering

Required Skills:

  • Combinatorial Optimization
  • Agentic AI and large language models
  • Machine Learning for Chip Design & EDA
  • Algorithms/Data Structures/Applied Math/Machine Learning/Software programming with proven ability in writing code in Python and C++

Preferred Qualifications

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

Compensation & Benefits

  • Base Salary (Level 3): 152,000 USD - 230,000 USD
  • Base Salary (Level 4): 168,000 USD - 264,500 USD
  • Eligible for equity and benefits
  • Base salary determined based on location, experience, and pay of employees in similar positions

Additional Information

  • Work Style: Hybrid
  • Application Deadline: At least until October 23, 2026
  • Position Type: Existing vacancy
  • Recruiting Process: NVIDIA uses AI tools in its recruiting processes

NVIDIA is an equal opportunity employer committed to fostering an inclusive work environment and does not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

About NVIDIA

NVIDIA designs graphics processing units (GPUs) and accelerated computing platforms for artificial intelligence, data centers, gaming, professional visualization, autonomous vehicles, and robotics. The company operates as a full-stack computing platform combining hardware, software, and networking solutions.

Industry
Semiconductors; Artificial Intelligence; Computer Hardware
Head office
Santa Clara, California
Company size
42,000
Founded
1993
Graphics Processing Units (GPUs)Artificial Intelligence ComputingData Center PlatformsGaming GraphicsProfessional VisualizationAutonomous VehiclesRoboticsAccelerated Computing
View NVIDIA’s profile →

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Applied Machine Learning Engineer - AI for VLSI Design