Qureos

FIND_THE_RIGHTJOB.

JOB_REQUIREMENTS

Hires in

Not specified

Employment Type

Not specified

Company Location

Not specified

Salary

Not specified

About the Role

We are seeking a Drone AI Engineer to lead the development of intelligent, autonomous capabilities for our next-generation UAV platforms. In this role, you will design, train, and deploy advanced computer vision, navigation, and decision-making algorithms that enable drones to perceive their environment, understand context, and operate safely and efficiently in dynamic real-world conditions.

Key Responsibilities

  • Develop and optimize AI/ML models for onboard perception, including object detection, tracking, semantic segmentation, and sensor fusion.
  • Build autonomous navigation systems using SLAM, path planning, and obstacle-avoidance algorithms.
  • Implement and test real-time inference pipelines on embedded hardware (GPU/SoC/Edge AI platforms).
  • Integrate AI modules into flight-control and mission-planning systems in collaboration with robotics and firmware teams.
  • Conduct simulation-based testing and field-testing to validate system reliability and performance.
  • Analyze flight data to improve model robustness, accuracy, and safety.
  • Stay current with advancements in AI, robotics, avionics, and drone regulatory frameworks.

Qualifications

Required:

  • Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, AI/ML, or related field.
  • Strong experience with deep learning frameworks (PyTorch, TensorFlow) and classical computer vision.
  • Hands-on experience with autonomous robotics or UAV systems.
  • Proficiency in Python and C++ for high-performance, real-time applications.
  • Experience with ROS/ROS2, Gazebo, or similar robotics simulation environments.
  • Familiarity with SLAM, sensor fusion (e.g., LiDAR, RGB, thermal, IMU), and reinforcement learning.

Preferred:

  • Experience deploying AI models on embedded platforms (NVIDIA Jetson, Qualcomm RB5, etc.).
  • Knowledge of flight-control systems, PX4/ArduPilot, or custom autopilot stacks.
  • Background in edge optimization (TensorRT, ONNX, quantization, pruning).
  • Experience with cloud-based fleet management or drone-data pipelines.

Job Type: Full-time

Pay: Rs150,000.00 - Rs300,000.00 per month

Work Location: In person

Similar jobs

No similar jobs found

© 2025 Qureos. All rights reserved.