AMS CAD Intern

About Marvell Technology

Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, automotive, and carrier architectures, our innovative technology is enabling new possibilities. At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead.

Your Team, Your Impact

You’ll be joining a small, dynamic team composed of experts in front-end tool support, circuit simulation, and AI methodologies. Our group focuses on advancing design automation by integrating machine learning into simulation workflows. Collaboration is a core value—we frequently engage with global colleagues who specialize in tools, flows, and AI strategies. Interns are welcomed as valuable contributors and will receive mentorship and guidance throughout their experience.

What You Can Expect as an AMS CAD Intern

As an AMS CAD Intern, you will work closely with a small, collaborative team to develop AI-enhanced tools that support design simulation workflows. This is a hands-on opportunity to gain experience in EDA and AI integration. Key responsibilities include:

• Writing and testing code in Python and SKILL to support simulation-related tool development.
• Participating in regular team meetings to discuss progress, align on goals, and receive mentorship.
• Assisting in the integration of AI techniques into existing design and simulation flows.
• Learning and applying best practices in software development and tool automation within a professional engineering environment.

This internship offers a unique opportunity to contribute to impactful projects while gaining exposure to cutting-edge technologies in analog design and simulation.

What We're Looking For

We are seeking a motivated intern pursuing a degree in Computer Engineering or Electrical Engineering, with a focus on VLSI design and a strong interest in AI/ML applications.

Preferred Qualifications

• Academic Background: Enrolled in a CE or EE program with coursework in VLSI, analog/digital circuits, and semiconductor fundamentals.
• Circuit Simulation Experience: Hands-on experience with Cadence Virtuoso ADE and Spectre for circuit simulation and analysis.
• Programming & Scripting: Proficient in Python, C/C++, and optionally SKILL. Familiar with development environments such as PyCharm or VSCode.
• AI/ML Exposure: Demonstrated interest in AI/ML, with experience building applications or models. Understanding of basic ML workflows and tools (e.g., scikit-learn, TensorFlow, PyTorch).
• Custom IC Layout: Basic knowledge of analog/custom layout principles.
• CAD Tools: Exposure to EDA tools and flows.
• Linux Proficiency: Comfortable working in a Linux-based development environment.
• Communication Skills: Strong written and verbal communication in English.
• Experience integrating AI/ML into design automation or simulation workflows.
• Familiarity with data analysis or visualization tools.

Key skills/competency

• AI/ML Integration
• Design Automation
• Circuit Simulation
• Python Programming
• SKILL Scripting
• VLSI Design
• EDA Tools
• Linux Environment
• Software Development
• Collaboration