Machine Learning Engineer Intern

About Marvell

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

As a key CAD member of Marvell Central Engineering, you will play a leading role on developing next-generation automated design flow and its add-on tools. You will have the opportunity to use your extensive design and CAD knowledge to participate in defining the whole organization's design infrastructure, methodology and workflows.

What You Can Expect

• Join the Marvell Central CAD team and play a pivotal role in crafting cutting-edge systems infused with Machine Learning (ML) models. Your mission will involve leveraging these models to meticulously analyze, interpret, and visually represent design metrics, along with refining design process methodologies.

  This opportunity allows you to be at the forefront of innovation, contributing to the advancement of our design capabilities.

• Understanding the requirements of the framework
• Process data from different sources, programmatically, reproduceable
• Work in collaboration with the rest of the team to identify what is expected and what is not.
• Come-up with data mining / machine learning techniques to extract information from structured data.
• Design an automated system for a production environment, not a onetime report.

What We're Looking For

• Candidate MUST be currently pursuing a BS/MS degree in Computer Science or Data Science at a Spain university.
• Strong Programming Skills in Python (scikit-learn, pandas) in a Unix environment
• Experience in git revision control system.
• Demonstrate good analysis and problem-solving skills. Out-of-the-box thinking.
• Eager to learn ASIC design domain concepts to understand the data to be analyzed.
• Team player with good verbal and written communication skills.
• Good English both written and verbal.

Additional Compensation and Benefit Elements

With competitive compensation and great benefits, you will enjoy our workstyle within an environment of shared collaboration, transparency, and inclusivity. We’re dedicated to giving our people the tools and resources they need to succeed in doing work that matters, and to grow and develop with us. For additional information on what it’s like to work at Marvell, visit our Careers page.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.

Interview Integrity

As part of our commitment to fair and authentic hiring practices, we ask that candidates do not use AI tools (e.g., transcription apps, real-time answer generators like ChatGPT, CoPilot, or note-taking bots) during interviews.

Our interviews are designed to assess your personal experience, thought process, and communication skills in real-time. If a candidate uses such tools during an interview, they will be disqualified from the hiring process.

This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). As such, applicants must be eligible to access export-controlled information as defined under applicable law. Marvell may be required to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment.

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