Connectivity Data Science Intern – Master’s degree

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

The existing and upcoming megatrends of cloud services and AI/ML among others, are driving the relentless demand for higher bandwidth, lower power and smaller footprint. Marvell offers a field-proven solution for high-speed optical interconnects and transceivers that are utilized for a wide array of enterprise, carrier, small medium business, industrial and cloud data center applications.

What You Can Expect

We are seeking a talent and motivated student to join our team as a Data Science Intern focused on connectivity hardware test data analysis and modeling. This role will contribute to the development of generative AI solutions for hardware device interoperability tuning. You will work closely with experienced data scientists and system engineers to enhance our hardware testing and interoperability processes using advanced data science and AI techniques. 

Key Responsibilities: 

• 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 We're Looking For

Qualifications: 

• Must be currently enrolled in a master's 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. 
• Understanding of interoperability testing and device tuning is advantageous but not required. 

Expected Base Pay Range (USD)

30 - 61, $ per hour.

The successful candidate’s 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 

For Internship roles, we are proud to offer the following benefits package during the internship - medical, dental and vision coverage or opt-out credit, perks and discount programs, virtual fitness subsidy, wellness & mental health support including coaching and therapy, paid holidays, paid volunteer days and paid sick time. Additional compensation maybe available for intern PhD candidates.

This role is eligible for our hybrid work model in which you will be able to split time between working from home and on-site in a Marvell office.

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 TAOps@marvell.com.

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