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 Learning, or related field.

6–10 years of experience in perception for robotics, drones, or autonomous vehicles.

Strong expertise in:

Sensor fusion (EKF, UKF, particle filters).

SLAM and mapping frameworks (ORB -SLAM, Cartographer, RTAB -Map, LOAM).

Computer vision & ML/DL (OpenCV, PyTorch/TensorFlow, ROS).

Hands -on experience with
embedded systems & GPU acceleration (CUDA, TensorRT, Jetson, etc.).

Experience in
C++ and Python for robotics software development.

Track record of deploying perception algorithms on real robots/UAVs.

Benefits
What We Offer
Ownership of Unmannd's
perception architecture and roadmap.

Direct impact on enabling
protected autonomous flight in real -world environments.

Access to UAV hardware, flight testing, and high -performance compute resources.

A startup environment with significant growth opportunities.

Competitive salary, and stock options.

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