Aanchal Sharma

Senior Product Manager at Astera Labs
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Contact Information
us****@****om
(386) 825-5501
Location
San Francisco Bay Area
Languages
  • English Native or bilingual proficiency
  • Hindi Native or bilingual proficiency

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Experience

    • United States
    • Semiconductor Manufacturing
    • 100 - 200 Employee
    • Senior Product Manager
      • Jan 2023 - Present

      Aries PCIe Smart Retimers

    • Product Manager
      • Mar 2022 - Jan 2023

      Managed Industry’s first CXL product “Leo Smart Memory Controllers”

    • United States
    • Semiconductor Manufacturing
    • 700 & Above Employee
    • Chief of Staff - Cloud & Enterprise Business Divison
      • Apr 2020 - Mar 2022

      • Strategic partner to VP/GM responsible for developing, managing, and evangelizing holistic business unit strategy• Managed Business Unit’s yearly Goals – Revenue, P&L, Product Margin, Long Range Plan• Managed technical and outbound marketing activities including developing keynotes, press releases, etc.• Drove requirements and definition for Silicon and IP products

    • Business Development Manager
      • Jan 2021 - Feb 2022

      • Led business development for server security market segment • Drove low-end FPGA product definition in alignment with Intel Xeon Platforms roadmap

    • Senior Field Application Engineer
      • May 2018 - Jul 2020

      • Delivered several design wins ($$M) for a diverse set of cloud and enterprise customers.• Trained customers in chip design, RTL code optimizations, schematic and layout • Specialized in PCIe based add in card products

    • Applications Engineer
      • Apr 2017 - Apr 2018

      • Trained neural nets on GPUs and ran inference on FPGA, GPU and CPU to evaluate competitor’s AI inference solution• Resolved customer issues in the areas of timing Closure, RTL -Optimizations, Configuration and Flash Interface

    • United States
    • Higher Education
    • 700 & Above Employee
    • Graduate Research Assistant
      • May 2016 - Apr 2017

      • Explored applications to suit reconfigurable aspects of NOVO-G (FPGA based supercomputer) for National Science foundation project • Developed Lattice Boltzmann Kernel using VHDL and Verilog, data streaming through DMA interfacing • Explored applications to suit reconfigurable aspects of NOVO-G (FPGA based supercomputer) for National Science foundation project • Developed Lattice Boltzmann Kernel using VHDL and Verilog, data streaming through DMA interfacing

Education

  • PES University
    Bachelor’s Degree, Electrical and Electronics Engineering
  • University of Florida
    Master’s Degree, Electrical and Computer Engineering

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