About the Role

The Perception Lead will own the perception architecture for Unmannd UAVs, leading development across vision, LiDAR, radar, and sensor fusion pipelines. You will lead the development of high-performance perception systems that integrate seamlessly with autonomy and control. This role requires both deep technical expertise and leadership skills to guide a cross-functional team.

Key Responsibilities
- Perception System Development
- Lead development of UAV perception pipelines for object detection, tracking, mapping, and obstacle avoidance.
- Architect and optimize multi-sensor fusion frameworks (e.g., combining cameras, LiDAR, radar, GPS, IMU).
- Develop algorithms for SLAM (Simultaneous Localization & Mapping), 3D reconstruction, and terrain awareness.
- Ensure perception stack runs in real-time on embedded hardware.
- Algorithm Design & Optimization
- Develop and deploy ML/DL models for vision-based detection, semantic segmentation, and scene understanding.
- Implement robust algorithms for adverse environments (low-light, rain, fog, GPS-denied zones).




- Optimize for latency, robustness, and power efficiency in embedded systems.
- Integration & Testing
- Work with autonomy engineers to feed perception outputs into planning and navigation modules.
- Collaborate with controls engineers to enable perception-informed control loops (e.g., obstacle avoidance).
- Define perception testing protocols in simulation (Gazebo, AirSim, Isaac Sim) and real-world flight tests.
- Analyze UAV flight logs to improve perception performance and robustness.
- Research & Innovation
- Stay at the cutting edge of computer vision, robotics perception, and AI for autonomy.
- Evaluate and integrate state-of-the-art techniques (e.g., deep learning for perception, graph-SLAM, event-based vision).
- Contribute to long-term strategy for making UAV perception certifiable and safety-critical.

Requirements
Qualifications
- Master’s or Ph.D. in Robotics, Computer Vision, Machine Lea

📌 Lead - Perception (UAVs) (Bengaluru)
🏢 UNMANND
📍 Bengaluru