ELH Software Engineer / Agent Engineer - EDA - Austin 2027

About the role

The IBM Electronic Design Automation (EDA) team is seeking motivated early-career engineers with a passion for software engineering, AI, and semiconductor design. Our team develops advanced software and Agentic AI solutions that drive the design and verification of IBM's next-generation processors and computing systems — spanning logic design, verification, synthesis, routing, and timing analysis.

Responsibilities

• AI-Driven Automation: Develop and deploy Agentic AI and machine learning solutions that automate complex chip design workflows, including synthesis and place-and-route
• Tool Development: Build and maintain software tools that support logic design, functional verification, timing analysis, and physical design
• Algorithm Engineering: Design and implement efficient algorithms and large-scale software systems that improve design quality and accelerate chip development
• Collaborative Innovation: Partner with hardware and software engineers across IBM to deliver solutions that shape the future of computing

Requirements

• BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field
• Experience with object-oriented programming languages such as C++, Java, Rust, or similar
• Experience with Python or other scripting languages
• Knowledge of data structures, algorithms, and digital logic design
• Coursework or project experience with AI or Agent Engineering
• Strong analytical and problem-solving skills with demonstrated ability to develop efficient algorithms and software solutions
• Excellent verbal, written, and interpersonal communication skills
• Ability to work effectively in collaborative, fast-paced engineering environments
• Demonstrated curiosity, initiative, and willingness to learn new technologies

Preferred Qualifications

• MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field
• Knowledge of computer architecture and microarchitecture
• Familiarity with digital, VLSI, or semiconductor design concepts
• Experience with logic design, functional verification, synthesis, place-and-route, or timing analysis
• Experience with GenAI, Agentic AI systems, ML frameworks, or AI-assisted software development
• Experience developing software in Linux environments
• Understanding of software engineering practices, testing methodologies, and version control systems