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.
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.
