Intern Software Engineer / Agent Engineer - EDA - Austin 2027

Introduction The IBM Electronic Design Automation (EDA) team is looking for curious, driven students with interests in software engineering, AI, and semiconductor design. Our team develops advanced software and Agentic AI solutions that help design and verify IBM's next-generation processors and computing systems — across areas like logic design, verification, synthesis, routing, and timing analysis. These positions are competitive. We welcome applications from students whose backgrounds include strong programming foundations, coursework in computer science, computer engineering, or electrical engineering, and enthusiasm for AI and advanced computing. Your Role And Responsibilities EDA is at the center of IBM's Agentic AI transformation in semiconductor development. As an EDA Software Engineering Intern, you will collaborate with experienced engineers on real problems at the intersection of software, AI, and chip design. Work Experiences You Could Be Exposed To AI & Automation Exploration: Gain exposure to Agentic AI and machine learning techniques applied to chip design workflows, including synthesis and place-and-route automation Tool Development: Contribute to software tools that support logic design, functional verification, timing analysis, and physical design Algorithm Development: Work on algorithms and software solutions that improve design quality and accelerate chip development Team Collaboration: Partner with engineers across IBM zSystems, Power Systems, Storage, and Quantum Computing to tackle challenging real-world problems At IBM, we prioritize continuous learning and personal growth within a culture of coaching and mentorship. Preferred Education Bachelor's Degree Required Technical And Professional Expertise Currently pursuing a BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related fieldFamiliarity with object-oriented programming languages such as C++, Java, Rust, or similarExposure to Python or other scripting languagesKnowledge of data structures, algorithms, and digital logic designCoursework or exposure to AI or Agent EngineeringStrong analytical and problem-solving skillsExcellent verbal, written, and interpersonal communication skillsAbility to work effectively in collaborative environmentsDemonstrated curiosity and willingness to learn new technologies Preferred Technical And Professional Experience Knowledge of computer architecture and microarchitectureFamiliarity with digital, VLSI, or semiconductor design conceptsExposure to logic design, functional verification, synthesis, place-and-route, or timing analysisFamiliarity with GenAI, Agentic AI systems, ML frameworks, or AI-assisted software developmentExposure to Linux development environmentsFamiliarity with software engineering practices, testing methodologies, and version control systems