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