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Autonomous Robotics Engineer

Autonomous Robotics Engineer

PhoQtek labsHyderabad, Republic Of India, IN
8 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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    Engineer • Hyderabad, Republic Of India, IN