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Unmannd

Senior RTL Design Engineer (UAVs)

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About the Role<\/span><\/b><\/div>
We are seeking an exceptional Senior RTL Design Engineer<\/b> to join our core hardware development team building the computational brains of next\-generation intelligent aerial vehicles<\/b>. This role is ideal for engineers with deep experience in motion control<\/b>, neural network acceleration<\/b>, and real\-time mathematical computation<\/b>, who are passionate about pushing the boundaries of autonomy in UAVs and aerial robotics.
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You will be responsible for designing and optimizing custom digital logic for high\-performance, low\-power systems that enable autonomous flight, perception, decision\-making, and control.<\/div>

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Key Responsibilities<\/span><\/b>
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  • Design and implement RTL architectures<\/b> for real\-time motion control, sensor fusion, and neural network inference.
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  • Translate complex control algorithms and machine learning models into efficient hardware pipelines<\/b>.
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  • Optimize logic for latency, area, power, and reliability<\/b> under real\-time constraints.
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  • Collaborate with system architects, control engineers, and AI teams to define hardware specifications.
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  • Integrate custom RTL blocks into SoCs and FPGA\-based platforms for flight control and autonomy.
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  • Drive RTL simulation, test bench development, synthesis, timing analysis<\/b>, and hardware bring\-up<\/b>.
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  • Participate in design reviews and contribute to hardware/software co\-design strategies.
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    Requirements<\/h3>
    Qualifications<\/span><\/b><\/div>

    • 5\u20136 years<\/b> of hands\-on experience in RTL design<\/b> using Verilog/SystemVerilog<\/b>.
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    • Strong background in motion control systems<\/b>, including servo control, path planning, and kinematics.
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    • Proficiency in implementing fixed\-point and floating\-point computation<\/b> for control and AI workloads.
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    • Experience in neural network accelerators<\/b>, MAC units, and quantized inference engines.
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    • Deep understanding of digital signal processing<\/b>, real\-time control, and hardware architecture.
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    • Familiarity with standard bus protocols (AXI, AHB) and memory subsystems (SRAM, DDR).
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    • Proficient in RTL simulation (ModelSim, VCS), synthesis, linting, and STA tools.
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    • B.E./B.Tech or M.E./M.Tech in Electrical/Electronics/Computer Engineering or equivalent.
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      Preferred Qualifications<\/span><\/b><\/div>

      • Prior experience in aerospace or robotics<\/b> hardware design.
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      • Exposure to FPGA\-based control systems<\/b> and flight computers.
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      • Understanding of UAV dynamics<\/b>, sensor fusion (IMU, GPS, LiDAR), and control loops (PID, MPC).
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      • Familiarity with hardware/software co\-simulation<\/b> and embedded systems.
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      • Experience with HLS tools<\/b>, and integration with C/C++ models or AI frameworks (TensorFlow Lite, ONNX).
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        Benefits<\/h3>
        What We Offer<\/span><\/b><\/div>

        • A mission\-driven, innovative environment at the forefront of autonomous flight.
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        • Opportunity to work on end\-to\-end UAV hardware platforms<\/b>.
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        • Collaboration with top minds in AI, robotics, and aerospace engineering.
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        • Competitive salary and benefits, and stock opportunities.
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