Sumukh Pinge

Sumukh Pinge

Senior Engineer,
Datacenter AI Architecture

Qualcomm

Biography

I am a Senior Engineer on Qualcomm’s Datacenter AI Architecture team, where I work on next-generation SoC platforms and novel memory systems for high-performance, energy-efficient AI inference. I earned my Ph.D. in Computer Science and Engineering from the University of California San Diego in 2026. At UC San Diego, I was advised by Prof. Tajana Šimunić Rosing in the Systems Energy Efficiency Lab (SEELab), where my research focused on memory-centric acceleration and domain-specific hardware-software co-design. My work spans FPGA, processing-in-memory, and in-storage systems for mass spectrometry, vector and database search, and distributed AI communication.

Interests
  • Datacenter AI Architecture
  • Memory-Centric Acceleration
  • Hardware-Software Co-Design
  • FPGA and Reconfigurable Systems
  • Network-on-Chip and Distributed AI
Education
  • PhD in Computer Science and Engineering, 2022-2026

    University of California San Diego

  • B.E Electronics and Instrumentation, 2018-2022

    Birla Institute of Technology and Science (BITS), Pilani