Applied Machine Learning Engineer - AI for VLSI Design
NVIDIAJob Title
Applied Machine Learning Engineer - AI for VLSI Design
Role Summary
Join the Circuit Solutions Group to develop AI-driven software for VLSI circuit design. The role focuses on combining automation algorithms, deep learning models and agentic workflows to accelerate pre- and post-silicon design automation and improve quality of results (QOR).
Experience Level
Mid-level. Typical background: MS (or equivalent experience) with 3+ years or PhD with 1+ years of relevant experience.
Responsibilities
Deliver applied ML and algorithmic solutions within a cross-functional team to advance electronic design automation.
- Work on pre-silicon and post-silicon custom circuit design tasks, layout optimization, and SPICE correlation.
- Research and implement novel EDA techniques and ML approaches for chip design problems.
- Design and develop agentic AI solutions and integrate them into design workflows.
- Analyze datasets, formulate and validate hypotheses, build models and algorithms, and iterate until target QOR is achieved.
Requirements
Must-have technical skills and experience.
- Proven expertise in Combinatorial Optimization, Agentic AI and large language models, and applying ML to chip design and EDA.
- Strong software and algorithm skills: data structures, applied math, machine learning, and production-quality coding in Python and C++.
- Experience developing and validating ML models on engineering datasets and driving measurable QOR improvements.
Nice-to-have
- Prior experience in large-scale EDA software development.
- Experience with CMOS layout drawing, schematic-to-layout translation, and DRC/LVS compliance.
- Strong communication and cross-functional collaboration skills; self-starter with a focus on continuous learning.
Education Requirements
MS (or equivalent practical experience) in Electrical or Computer Engineering with 3+ years of experience, or PhD in Electrical or Computer Engineering with 1+ years of experience. Equivalent practical experience acceptable where specified.
About the Company
Company: NVIDIA
Headquarters: Santa Clara, California, USA
NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.
