Senior RTL Design Engineer (UAVs)

• Design and implement RTL architectures for real -time motion control, sensor fusion, and neural network inference.
  

• Translate complex control algorithms and machine learning models into efficient hardware pipelines.
  

• Optimize logic for latency, area, power, and reliability under real -time constraints.
  

• Collaborate with system architects, control engineers, and AI teams to define hardware specifications.
  

• Integrate custom RTL blocks into SoCs and FPGA -based platforms for flight control and autonomy.
  

• Drive RTL simulation, test bench development, synthesis, timing analysis, and hardware bring -up.
  

• Participate in design reviews and contribute to hardware/software co -design strategies.
  

Requirements

• 5–6 years of hands -on experience in RTL design using Verilog/SystemVerilog.
  

• Strong background in motion control systems, including servo control, path planning, and kinematics.
  

• Proficiency in implementing fixed -point and floating -point computation for control and AI workloads.
  

• Experience in neural network accelerators, MAC units, and quantized inference engines.
  

• Deep understanding of digital signal processing, real -time control, and hardware architecture.
  

• Familiarity with standard bus protocols (AXI, AHB) and memory subsystems (SRAM, DDR).
  

• Proficient in RTL simulation (ModelSim, VCS), synthesis, linting, and STA tools.
  

• B.E./B.Tech or M.E./M.Tech in Electrical/Electronics/Computer Engineering or equivalent.
  

• Prior experience in aerospace or robotics hardware design.
  

• Exposure to FPGA -based control systems and flight computers.
  

• Understanding of UAV dynamics, sensor fusion (IMU, GPS, LiDAR), and control loops (PID, MPC).
  

• Familiarity with hardware/software co -simulation and embedded systems.
  

• Experience with HLS tools, and integration with C/C++ models or AI frameworks (TensorFlow Lite, ONNX).
  

Benefits

• A mission -driven, innovative environment at the forefront of autonomous flight.
  

• Opportunity to work on end -to -end UAV hardware platforms.
  

• Collaboration with top minds in AI, robotics, and aerospace engineering.
  

• Competitive salary and benefits, and stock opportunities.