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Marvell Technology Logo

Product Engineer Intern - Master's Degree

Marvell Technology

$22 - $45
Nov 19, 2025
Santa Clara, CA, United States of America
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Marvell's 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. 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.

Requirements

  • Solid foundation in semiconductor physics, circuit analysis, and code debugging at minimum as evidenced by coursework
  • Familiarity with SPC or have taken courses in Applied Statistics or related subjects
  • Developed skill using Excel or other applications used for processing data (ex: JMP)
  • Test Program Verification and Debug
  • Failure Analysis and Device Characterization
  • Execution or Coordination of Automated Test Equipment (ATE) and System Level Test (SLT) Operations
  • Data analysis automation

Responsibilities

  • Own new product introduction (NPI) deliverables including product characterization, test operation, qualification, yield ramp, and manufacturability
  • Project Execution Planning and Coordination of Test Operations
  • Partner with design, DFT/DFM, process, package, and test teams to optimize product performance, quality, and cost across multiple test insertions (Wafer Sort, Final Test, System Level Test)
  • Design of Experiments (DOE) and Execution of Root Cause and Corrective Action (RCCA)
  • Data Interpretation and Conclusions-driven Presentation
  • Statistical Process Control (SPC) and Risk Assessment/Mitigation
  • Propose and execute product cost and quality improvements

Other

  • Currently pursuing a Bachelor's or Master's in Electrical Engineering (EE), Computer Engineering (CE), Computer Science (CS) or a related field
  • Proven documentation and presentation skills with ability to eloquently summarize key points of complex topics
  • Strong organization and schedule management skills with familiarity in activity/process automation being a plus
  • General understanding of problem-solving techniques or processes
  • Courses taken in Engineering Management or related subjects is a plus