01 Aug
|
Recognized
|
Bengaluru
01 Aug
Recognized
Bengaluru
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 environments 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 academia and industry (e.g., learning -based control, SLAM, dynamic path planning).
Requirements
Qualifications
- Bachelor’s or Master’s degree in Robotics, Aerospace, Computer Science, or a related field.
- 6+ years of experience in robotics, autonomous systems, or UAV software.
- Robust expertise in at least 2 of the following:
- SLAM / state estimation
- Motion planning (e.g., RRT*, A*, MPC)
- Control theory (PID, LQR, nonlinear control)
- Proficient in C++ and Python, with experience in ROS, PX4/Ardupilot integration, and real -time systems.
- Hands -on experience with robot simulators (e.g., Gazebo, AirSim, Isaac Sim) and flight test environments.
- Proven track record of deploying autonomy software on physical platforms.
Benefits
- Why Join Us
- Work at the forefront of autonomy, AI, and UAV innovation.
- Influence architecture and decisions from the ground up.
- Collaborate with a highly skilled multidisciplinary team.
- Competitive compensation and equity options.