Matthew Roberto

About Matthew Roberto

Execution driven Technical Program Manager in the semiconductor industry dedicated to reducing product cost and streamlining foundry throughput. Hardworking professional who thrives when working closely with product development, sales, and manufacturing teams to release products on schedule and under budget. Extensive background in electronics, mechanical design, and data analysis with over five years of team coordination and program management experience. Expertise in working with contract manufacturers to drive effective cross-communication between teams and innovate problem solving. Highly knowledgeable on every stage of the product development life cycle, from process bring-up to market release, for high volume MEMS microphones.

Experience

1. Project Manager

   TDK InvenSense

   Aug 2019 — Present · San Jose, CA, US

   Lead coordination and tracking of all Wafer Fab and Foundry activities for InvenSense microphone group. Work with key stakeholders in product management and executive teams to define strategy and product requirements. Collaborate with quality and NPI teams to ensure risks are captured correctly and mitigated within aggressive timelines and cost restrictions. Organize cross-functional reviews of the product requirements, design, qualification, and quality. • Promoted in 2020 from Sr. MEMS Validation Engineer to MEMS Technical Program Manager after one year. • Successfully launched state-of-the-art extremely robust, low latency, low power, digital microphone, from initial process development to mass production with projected 72 million units sold by end of ‘22 fiscal year. • Drove execution within microphone group hit a record revenue of $57.1M at 65% year-over-year growth in 2022. • Recipient of TDK Sensing Excellence Award T126 Q3 for achievements in Program Management. • Strong written, verbal, and presentation skills to effectively communicate internal product development data, learnings, and timelines to clients on a daily basis. • Validation engineering background to help identify key design dependencies and drive root cause analysis • Characterize part performance and key takeaways from large datasets using MATLAB and Python.

Education

• University of California, Davis

  Master's degree, Mechanical Aerosapce Engineering

  2017 — 2019

• The State University of New York

  Bachelor's degree, Electrical and Electronics Engineering

  2013 — 2017