Currently pursuing a Bachelor's degree in Computer Engineering, Electrical Engineering, or a related field.
Graduating in mid 2027
Interest in AI technologies and digital design.
Eager to learn basic programming (Python, TCL).
Strong curiosity and willingness to learn in a collaborative environment
Interest in digital design, hardware verification, or embedded systems
Willingness to learn and a proactive attitude
Problem-solving mindset and curiosity to explore new technologies
Additional Job Details:
Employment category: Intern
Employment term: 20 hours/week.
Competitive benefits.
Location: Av Contorno 5800, Belo Horizonte, Minas Gerais Brazil.
About Cadence Design Systems:
We're doing work that matters. Help us solve what others can't.
Additional Information
At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
Cadence Design Systems Inc. is looking for a motivated Intern: Application Engineering - Digital Simulation/Verification & Agentic AI to work with us in Belo Horizonte, Brazil.
As an intern , you will join a team working on digital verification and simulation flows using Cadence Simulation and Verification Tools. This internship is focused on learning: you will gain hands-on experience with Agentic AI technologies that make verification smarter and more efficient. You'll shadow experienced engineers, assist with basic tasks, and explore how AI is transforming electronic design workflows.
Get ready to gain real-world experience in cutting-edge verification technologies, also to l earn how Agentic AI is shaping the future of semiconductor design, and help us b uild foundational skills for a career in Application Engineering!
Job Description:
Understand simulation flows and how they fit into chip design verification.
Learn how Agentic AI is applied to automate tasks and improve productivity.
Get exposure to industry-standard tools like Xcelium and Verisium.
Practice writing simple scripts (Python or TCL) for automation.
Support engineers in setting up and running simulations.
Assist with basic automation tasks under guidance.
Document processes and share learnings with the team.
Engage in continuous learning through mentorship and internal resources.