Software Engineering Intern: AI-Driven Debugging & GUI

Cadence Design Systems; Cork; On-site; EUR 21,000 - 34,000; Full time

Job summary

Cadence Design Systems in Ireland is offering a Software Engineering Intern position within the Quantus Insight R&D team (Digital & Signoff Group). You will work on a next-generation parasitic analysis and debugging platform, learning modern software engineering practices while contributing to real product development.

You will tackle challenges with large-scale data, GUI development, workflow automation, and AI-assisted technologies, under the guidance of experienced mentors; strong analytical

Qualifications

• Pursuing Bachelor’s, Master’s, or PhD in CS, SE, or related field.
• Experience programming in at least one modern language.
• Strong analytical and problem-solving skills.
• Curiosity, creativity, and willingness to learn unfamiliar technologies.
• Good understanding of algorithms and data structures.
• Strong communication and teamwork skills.

Responsibilities

• Contribute to real product features used by semiconductor design engineers.
• Investigate and solve challenging software problems involving large datasets, performance, and usability.
• Participate in design discussions, code reviews, debugging, testing, and other collaborative engineering activities.
• Explore automation and AI-driven workflows as part of next-generation engineering tools.

Skills

Programming languages

Analytical thinking

Curiosity & learning

Algorithms & data structures

Communication & teamwork

Education

Bachelor’s/Master’s/PhD in CS or related

Tools

Linux/Unix

GUI development

Multithreading

AI workflows

EDA knowledge

Job description

Cadence Design Systems in Ireland is offering a Software Engineering Intern position within the Quantus Insight R&D team (Digital & Signoff Group). You will work on a next-generation parasitic analysis and debugging platform, learning modern software engineering practices while contributing to real product development.

You will tackle challenges with large-scale data, GUI development, workflow automation, and AI-assisted technologies, under the guidance of experienced mentors; strong analytical