Senior AI Technical Lead – Applied AI for VLSI / EDA (Individual Contributor)

Qualcomm
San Diego, California, United States of America2026-04-08onsite

About the job

Qualcomm’s Global CAD organization is seeking a senior, hands-on AI technical lead to drive the application of next-generation AI technologies within VLSI and EDA workflows. This is a senior individual contributor role requiring deep technical expertise, strong software engineering skills, and a proven ability to translate rapidly evolving AI capabilities into practical, high-impact engineering solutions. The successful candidate will work closely with CAD, design, and methodology teams to rethink how modern AI—particularly LLM-based and agentic systems—can transform design automation, verification, debug, optimization, QA, and engineering productivity. This role emphasizes building real systems, continuous adaptation, and delivering impact in a fast-moving AI landscape.

Responsibilities

Design, prototype, and deploy production-quality AI/ML solutions applied to VLSI / EDA problems, including (but not limited to) design automation, verification, debug, optimization, QA, and flow enablement

Evaluate emerging AI technologies and continuously evolve approaches to maintain technical relevance, efficiency, and impact

Collaborate closely with global CAD teams to design and develop agentic and adaptive AI systems, from problem formulation and architecture selection through implementation, evaluation, and integration

Serve as a hands-on AI technical advisor across teams through design reviews, prototyping, and knowledge sharing

Contribute to rethinking traditional CAD abstractions in an AI-driven, agentic workflow model

Qualifications

Minimum

Bachelor's degree in Science, Engineering, or related field and 10+ years of ASIC design, verification, validation, integration, or related work experience.

OR

Master's degree in Science, Engineering, or related field and 9+ years of ASIC design, verification, validation, integration, or related work experience.

OR

PhD in Science, Engineering, or related field and 8+ years of ASIC design, verification, validation, integration, or related work experience.

Preferred

Master’s degree or PhD in Computer Science, Computer Engineering, Data Science, or a related field

15+ years of experience in software development, AI workflows, VLSI CAD, or adjacent domains

Strong software engineering background with experience integrating AI solutions into production codebases

Experience designing, prototyping, and deploying AI solutions applied directly to VLSI design or EDA infrastructure