Marvell Technology Benefits Overview

Conduct research on Physical AI and GPU systems, prototyping platforms for autonomous systems and optimizing CUDA for constrained hardware. Build compute, networking, and security infrastructure; develop agentic capabilities; and train machine learning models for perception, reasoning, and real-world action using video, audio, and sensor data. Work with researchers and architects on publishable research and product-focused innovations.

Supports semiconductor product engineering across silicon bring-up, device validation, wafer sort and final test data analysis, troubleshooting, yield improvement, test-time optimization, and root-cause investigations. Builds automated dashboards and engineering tools while collaborating with ASIC Design, Applications, and Test Engineering teams. Uses Python, VBA, and JMP for statistical analysis and correlation studies.

Supports semiconductor test development by verifying code and test programs, evaluating chip performance, investigating unexpected results, conducting bench correlation exercises, and identifying root causes. The intern collaborates with design, verification, quality, marketing, and operations teams while contributing to silicon bring-up, test program releases, characterization, production testing, yield optimization, and test-time improvements.