Deep-tech Work India
UNMANND

Senior RTL Design Engineer (UAVs)

Bengaluru, Karnataka · Full time · 5+ years

VLSI CC++VerilogSystemVerilogTensorFlowMotion PlanningLiDAR / Point CloudControl SystemsRTL DesignVerificationPhysical DesignFPGASynopsysHardware DesignSignal ProcessingGNCUAV / DronePower Systems
Posted
30 Aug 2025
Last verified at source
9 hours ago
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About the Role
We are seeking an exceptional Senior RTL Design Engineer to join our core hardware development team building the computational brains of next-generation intelligent aerial vehicles. This role is ideal for engineers with deep experience in motion control, neural network acceleration, and real-time mathematical computation, who are passionate about pushing the boundaries of autonomy in UAVs and aerial robotics.

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.

Key Responsibilities

  • 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

Qualifications

  • 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.

Preferred Qualifications

  • 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

What We Offer

  • 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.