Supply Chain Software Engineer Intern
- San Jose, CA, United States
Applications open in a new tab.
Job details
- Posting language
- English
- Posted
Original job description
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.
Required technical and professional expertise
- Knowledge of computer architecture and microarchitecture.
- Familiarity with digital, VLSI, or semiconductor design concepts.
- Exposure to logic design, functional verification, synthesis, place-and-route, or timing analysis.
- Familiarity with GenAI, Agentic AI systems, ML frameworks, or AI-assisted software development.
- Exposure to Linux development environments.
- Familiarity with software engineering practices, testing methodologies, and version control systems.
Preferred technical and professional experience
- Currently pursuing a BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field.
- Familiarity with object-oriented programming languages such as C++, Java, Rust, or similar.
- Exposure to Python or other scripting languages.
- Knowledge of data structures, algorithms, and digital logic design.
- Coursework or exposure to AI or Agent Engineering.
- Strong analytical and problem-solving skills.
- Excellent verbal, written, and interpersonal communication skills.
- Ability to work effectively in collaborative environments.
- Demonstrated curiosity and willingness to learn new technologies.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
More about this job
Skills
- Supply chain management
- EDA
- Electrical engineering
- Machine learning
- Place-and-route
- Collaboration
- IBM Power Systems
- Coaching
- ML
- Software development
- Linux
- Control systems
- Computer science
- Computer engineering
- Object-oriented programming languages
- C++
- Oracle Java
- Rust
- Python
- Problem solving
- Communication skills
- Regulatory compliance