About the Role
As the Autonomy Lead, you will architect, build, and lead the development of the full autonomy stack—ranging from perception-informed navigation to path planning and robust control algorithms. You will collaborate closely with our firmware, perception, and systems integration teams to deploy real-time autonomy solutions on actual flight hardware.

You will also play a key leadership role: mentoring engineers, driving roadmap decisions, and ensuring high performance and reliability in mission-critical environments.

Key Responsibilities
Architecture & Development
Design and implement core components of the autonomy stack: state estimation, motion planning, trajectory generation, and control.
Drive the integration of perception, mapping, and localization systems into robust navigation algorithms.
Own the autonomy system architecture, ensuring it meets real-time, safety, and performance constraints.
Optimize for performance on embedded compute platforms (e.g., NVIDIA Jetson, PX4 Companion Computers).
Leadership & Strategy




Define the technical roadmap for the autonomy team in alignment with product and platform needs.
Mentor and manage a team of autonomy, controls, and navigation engineers.
Drive code quality, system reliability, and testing strategy, including simulation-in-the-loop (SITL) and real-world test flights.
Represent the autonomy function in cross-functional meetings with firmware, perception, hardware, and product teams.
Testing & Deployment
Develop simulation settings for autonomy testing (e.g., Gazebo, AirSim, or custom frameworks).
Validate algorithms through real-world flight testing and flight log analysis.
Collaborate with systems integration engineers to tune algorithms on physical platforms under various flight conditions.
Research & Innovation
Stay current with state-of-the-art developments in robotics, drone autonomy, and reinforcement learning.
Evaluate and integrate promising approaches from a

📌 Lead Autonomy Uavs Bengaluru
🏢 UNMANND
📍 Bengaluru