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Senior FPGA Design Specialist

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Anand, Gujarat, India beBeeFPGA Full time ₹ 10,00,000 - ₹ 25,00,000
Job Overview

We are seeking a skilled and ambitious FPGA Engineer Intern to join our team. As an integral part of our engineering team, you will have the opportunity to work on cutting-edge projects and develop critical components of our Virtual FPGA technology.

This internship is designed for individuals who are passionate about building, learning, and growing in a fast-paced environment. You will have real responsibility and your work will have a direct impact on our success.

Key Responsibilities:

  • Develop and maintain critical components of the static shell for our Virtual FPGA technology.
  • Architect and implement high-performance cybersecurity applications that push the boundaries of what's possible on our platform.
  • Collaborate with founding engineers on system design, performance analysis, and integration in a constantly evolving codebase.

About Us:

We are a small, globally-distributed team at the forefront of cloud computing. Our mission is to fundamentally change how high-performance computing is accessed by integrating Virtual FPGA technology with Kubernetes.

Requirements:

  • Pursuing a Master's or PhD degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field.
  • Experience in FPGA system development, particularly with AMD/Xilinx FPGAs.
  • Proficiency in Verilog and/or SystemVerilog.
  • Strong understanding of network protocols (e.g., Ethernet, TCP/IP, UDP).
  • Programming skills in C/C++.

Benefits:

  • Deep, practical knowledge of FPGA virtualization and Dynamic Function eXchange (DFX).
  • Hands-on experience in developing sophisticated, high-performance networking and cybersecurity applications.
  • Direct mentorship from industry veterans in hardware and cloud computing.
  • The invaluable experience of making a tangible impact at a fast-growing tech startup.

Preferred Qualifications:

  • A self-starter mindset with the ability to thrive and adapt in a fast-paced, evolving environment.
  • Experience with AMD/Xilinx Versal devices.
  • Familiarity with cloud-native technologies like Kubernetes.