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

Company Qualcomm Technologies, Inc. Job Area Engineering Group > ASICS Engineering General Summary 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. Key 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 Required Qualifications Bachelor’s degree in Computer Science, Computer Engineering, Data Science, or a related technical field 10+ years of experience in software development, AI workflows, VLSI CAD, or adjacent technical domains Hands‑on experience building and applying modern AI/ML systems in real‑world engineering environments Strong expertise with LLMs and related technologies, including prompt engineering, embeddings, RAG pipelines, tool/function calling, agent frameworks, etc. Proven ability to design, implement, and maintain AI systems beyond research or experimentation Preferred Qualifications 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 Minimum Qualifications Bachelor's degree in Science, Engineering, or related field and 10+ years of ASIC design, verification, validation, integration, or related work experience Master's degree in Science, Engineering, or related field and 9+ years of ASIC design, verification, validation, integration, or related work experience PhD in Science, Engineering, or related field and 8+ years of ASIC design, verification, validation, integration, or related work experience Pay Range And Other Compensation & Benefits $249,900.00 - $374,900.00. This pay scale is the broad minimum to maximum for the job code and location. Salary is one component of total compensation; additional benefits include a competitive annual discretionary bonus program, opportunity for annual RSU grants, and a comprehensive benefits package. EEO Statement Qualcomm is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification. Qualcomm is committed to providing reasonable accommodations for individuals with disabilities. #J-18808-Ljbffr Qualcomm