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Drones systems engineer

Drones systems engineer

PhoQtek labsHyderabad, Telangana, India
2 days ago
Job description

About the Role

Phoqtek Labs is seeking an exceptional  Drone Systems Engineer  who possesses deep expertise across both  aerial hardware design  and  autonomous navigation software .

The candidate will be responsible for the  design, integration, and deployment of next-generation drones  equipped with  Visual Navigation Systems (VNS) , capable of  GPS-denied operation  and  AI-assisted autonomy .

This is  not a plug-and-play assembly role  you will architect the  entire system stack , from  sensor fusion and flight control integration  to  real-time perception and control systems  optimized on edge devices like NVIDIA Jetson Orin Nano / Xavier .

Key Responsibilities Hardware Design & Integration

  • Design, assemble, and optimize  multi-rotor and fixed-wing drones , including frame selection, motor & ESC configuration, propeller dynamics, and payload balancing.
  • Integrate onboard compute modules (Jetson Orin, Raspberry Pi, etc.) with  PX4  or  ArduPilot  flight controllers (CubePilot Orange+, Pixhawk 6X, etc.).
  • Develop and test  power distribution systems ,  LiPo battery configurations , and  telemetry setups  (SiK, 433 / 915 MHz, etc.).
  • Work on  thermal management ,  vibration isolation , and  EMI mitigation  to ensure high sensor accuracy.

Software & Autonomy Stack

  • Develop and tune  Visual Navigation Systems (VNS)  including :
  • Visual-Inertial Odometry (VIO)
  • Visual SLAM (Kimera, ORB-SLAM3, VINS-Fusion)
  • Depth-based obstacle avoidance
  • Implement and optimize  sensor fusion pipelines  (IMU + Vision + GPS + LiDAR) using  ROS / ROS2 .
  • Work on  autonomous path planning ,  mission control , and  failsafe behaviors .
  • Deploy  real-time inference pipelines  for onboard AI (object detection, terrain mapping, human / vehicle tracking).
  • Integrate  MAVLink protocols  for communication between companion computers and flight controllers.
  • Systems Engineering & Testing

  • Calibrate and validate sensors (IMU, magnetometer, barometer, GPS, and camera extrinsics).
  • Conduct  ground and flight tests  to evaluate stability, control loops, and navigation accuracy.
  • Analyze  flight logs  using  QGroundControl ,  Mission Planner , or  MAVLink tools  for debugging and optimization.
  • Manage  version-controlled firmware and ROS packages  using  Git  and CI / CD pipelines.
  • Edge & Cloud Deployment

  • Implement  real-time video streaming ,  telemetry dashboards , and  remote monitoring  over 4G / 5G or Wi-Fi.
  • Optimize  low-latency data pipelines  using  CUDA ,  TensorRT , and  GStreamer .
  • Collaborate with AI / ML engineers for  data collection, annotation, and retraining pipelines  for perception and mapping models.
  • Required Skills & Experience

  • 1–2 years  of hands-on experience in UAV system development (hardware + software).
  • Proven integration experience with  PX4  or  ArduPilot  flight stacks.
  • Strong programming skills in  C++  and  Python  for robotics and embedded control.
  • Deep understanding of  ROS / ROS2 ,  MAVROS , and  sensor fusion algorithms .
  • Hands-on experience with  NVIDIA Jetson devices  (Jetson Orin / Xavier / Nano).
  • Experience with  stereo / depth cameras  such as  Intel RealSense D455 ,  ZED , or  Luxonis OAK-D .
  • Knowledge of  SLAM / VIO algorithms ,  sensor calibration , and  3D reconstruction .
  • Familiarity with  PCB design ,  power electronics , and  embedded microcontrollers  (STM32, ESP32).
  • Strong background in  control systems ,  flight dynamics , and  PID tuning .
  • DGCA-certified drone pilot license (preferred)  — ideal for candidates capable of manual flight testing and maneuver validation.
  • Preferred Skills

  • Experience with  Isaac ROS Visual SLAM ,  Kimera-VIO , or  RTAB-Map .
  • Exposure to  LiDAR integration  and  point cloud processing  (PCL, Open3D).
  • Proficiency in  Docker  for containerized robotics deployments.
  • Understanding of  computer vision (OpenCV)  and  deep learning frameworks  (PyTorch, TensorFlow).
  • Knowledge of  geospatial datasets ,  DGCA / IN-SPACe regulations , and  BVLOS operational standards .
  • Education

  • Bachelor’s or Master’s in  Robotics ,  Mechatronics ,  Aerospace Engineering or  Embedded Systems .
  • Publications, research projects, or open-source contributions in  drone autonomy ,  SLAM , or  VIO  are highly desirable.
  • What We Offer

  • Work at the intersection of  AI, photonics, and autonomous UAVs .
  • End-to-end ownership in  drone R&D , from prototype to field deployment.
  • Access to  Phoqtek Labs’ GPU and simulation infrastructure  for testing and AI workloads.
  • Opportunity to contribute to  cutting-edge aerial autonomy research .
  • Competitive startup compensation with growth.
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