Senior VLSI CAD and AI Automation Engineer

Job Title

Senior VLSI CAD and AI Automation Engineer

Role Summary

Develop and integrate AI/ML-enabled CAD solutions and automation flows for VLSI design, verification, and implementation. Work within the CAD/EDA team and cross-functionally with design and verification engineers to deploy production-ready tools that improve design quality and productivity.

Experience Level

Senior — requires 5+ years of experience in VLSI CAD tool development with AI/ML integration.

Responsibilities

Primary responsibilities include designing, prototyping, and deploying AI-enhanced CAD flows and maintaining automation infrastructure.

• Develop and integrate advanced CAD solutions and automation flows using AI/ML for VLSI design and verification.
• Collaborate with design, verification, and CAD teams to identify workflow improvements and integrate tools.
• Research and prototype AI-based algorithms targeted at VLSI challenges and move proven approaches to production.
• Develop and maintain automation scripts and infrastructure to enable adoption of AI tools (CI, tool wrappers, data pipelines).
• Evaluate impact of AI solutions on design quality, performance, and productivity; iterate on models and flows.
• Provide technical support and training to engineering teams on AI-enabled CAD flows and best practices.

Requirements

Must-have technical skills and professional experience.

• 5+ years of experience in VLSI CAD tool development, with a focus on integrating AI/ML into EDA workflows.
• Proficiency in Python and at least one AI/ML framework (TensorFlow, PyTorch, or scikit-learn).
• Hands-on experience with VLSI physical design and familiarity with industry-standard EDA tools (e.g., Synopsys, Cadence).
• Experience developing and maintaining automation scripts (Python, Perl, Tcl, Make) and tooling for production use.
• Knowledge of data preprocessing, feature engineering, and model deployment as applied to VLSI design problems.
• Strong analytical skills and clear communication; ability to work cross-functionally in a fast-paced environment.
• Self-motivated, detail-oriented, and proven ability to deliver robust solutions into production.

Nice-to-have:

• Experience deploying AI/ML models in production VLSI CAD environments.
• Contributions to open-source AI/EDA projects or publications in relevant conferences/journals.
• Deep understanding of timing closure, power optimization, or yield enhancement and AI approaches to these problems.
• Experience with cloud-based or distributed compute environments for large-scale AI training and inference.

Education Requirements

B.Sc. or M.Sc. in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field, or equivalent practical experience.

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.