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Leading Expert in Digital Signal Processing Solutions

3 weeks ago

Sydney, New South Wales, Australia beBeeFpgaengineer Full time $1,000,000 - $1,200,000

Job Title: FPGA Engineer

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Job Description:

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DroneShield is seeking an experienced FPGA Engineer to join its team in Sydney, Australia. The successful candidate will be responsible for developing and expanding drone recognition and disruption algorithms using software-defined radios (SDRs). They will implement complex digital signal processing algorithms into production-grade firmware.

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Responsibilities and Duties:

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  • Design, develop, document, and implement FPGA-based systems to support real-time digital signal processing.">
  • Research and develop highly optimized RTL implementations of DSP, ML, and statistical algorithms.">
  • Optimize the core of DroneShield's technology for accuracy, performance, stability, and maintenance.">
  • Scale the R&D, development, verification, and validation infrastructure.">
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Qualifications and Experience:

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  • ">
  • A bachelor's degree in electronic engineering or a related field.">
  • At least 2 years of experience working within a team.">
  • Strong programming skills, with expertise in Verilog, VHDL, or SystemVerilog.">
  • Experience with automated verification and validation frameworks.">
  • Proficiency in synthesis and timing closure on resource-constrained FPGAs.">
  • Expertise in high-speed digital design and building customized IP cores.">
  • FPGA development experience using tools like Vivado, Quartus, and Vitis.">
  • Ability to design and implement high-throughput, low-latency, and fully pipelined FPGA architectures.">
  • Proficiency in C/C++ programming for FPGA modules and familiarity with scripting languages like Python.">
  • Experience working in a Linux environment.">
  • Knowledge of PCB schematics, board bring-ups, and debugging hardware is desirable.">
  • Background in digital signal processing is highly desirable.">
  • General RF knowledge and understanding of transmission protocols and principles are desirable.">
  • Understanding of machine learning concepts within the scope of FPGA implementation is ideal.">
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