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

Marvell's System Engineering group is under our Central Engineering Operation and is primarily responsible for emulation and system modeling infrastructure. Our group develops in-house tools for automation, silicon validation, and system models for software development.

What You Can Expect

This is a hybrid role and you will be expected to work from our Santa Clara, CA office.

Work alongside a senior engineer to complete either a system modeling or emulation project within a time frame set forth by the department manager

What We're Looking For

Minimum Qualifications:

Must be currently pursuing a master’s degree in Computer Engineering and have an anticipated graduation date between Winter 2025 and Spring 2026

Proficiency in C++ or C and at least one scripting language such as Python or Pearl

Knowledge of Verilog or VHDL is required

Preferred Qualifications:

Course work in Artificial Intelligence, Machine Learning, and/or Statistical Analysis

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.