AI Infrastructure Engineering Intern- Master's Degree

About Marvell

Marvells semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise cloud and AI 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

What You Can Expect

• Analyze and model DSP or other connectivity hardware test data to identify patterns anomalies and insights for device tuning.
• Develop and apply machine learning and generative AI models to optimize device interoperability contributing to efficient hardware deployment.
• Collaborate with team members to automate data processing and integrate models into our testing workflows.
• Assist in creating documentation and visualizations for data analysis and model insights leveraging tools like Python and related libraries.
• Stay updated with the latest in generative AI and hardware data analysis proposing innovative approaches to improve device tuning and interop performance.

What Were Looking For

• Must be currently enrolled in a masters program in Data Science Computer Science Electrical Engineering or other related fields with an anticipated graduation date between Winter 2025 and Spring 2026
• Proficiency in Python and experience with data analysis libraries (e.g. pandas NumPy).
• Familiarity with machine learning frameworks (e.g. TensorFlow PyTorch) and interest in generative AI.
• Strong analytical skills with attention to detail and ability to work independently on complex problems.
• Knowledge of DSP other connectivity hardware or switching testing environments is a plus.

Preferred Qualifications

• Experience with data visualization tools (e.g. Tableau matplotlib) for presenting analysis and model results.
• Familiarity with cloud platforms (e.g. AWS Azure) and data pipeline tools (e.g. Snowflake Airflow) is a plus.

Expected Base Pay Range (USD)

The successful candidates starting base pay will be determined based on job-related skills experience qualifications work location and market conditions. The expected base pay range for this role may be modified based on market conditions.

Additional Compensation and Benefit Elements

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.

Any applicant who requires a reasonable accommodation during the selection process should contact Marvell HR Helpdesk at .

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.