Job Description

About the Role:

We are seeking a highly skilled

Senior Robotics Engineer

with expertise in autonomous systems, aerial robotics, and real-time perception to join our team. The role involves designing, developing, and deploying advanced robotic software and hardware systems for unmanned aerial vehicles (UAVs). You will collaborate with cross-functional teams in control systems, AI/ML, computer vision, and hardware integration to deliver cutting-edge drone technologies for defense, industrial, and commercial applications.

Key Responsibilities:

Lead the design and development of autonomy stacks for drones, including navigation, perception, mapping, and mission planning. Develop

sensor fusion

and

state estimation

algorithms for UAVs. Implement and test

motion planning and control algorithms

for multi-rotor and fixed-wing UAV platforms. Hardware and software integration on Edge devices for onboard perception sensors. Oversee

ROS/ROS2-based system architecture

, middleware, and distributed computing frameworks for UAV autonomy. Perform hardware-in-the-loop and software-in-the-loop simulations for the end application. Conduct

field testing, validation, and troubleshooting

of drone platforms in real-world scenarios. Developing architecture for an end-to-end pipeline involving hardware, software, and ground control station (GCS). Contribute to

system safety, reliability, and compliance

with aviation standards and regulatory frameworks.

Research and evaluate emerging technologies to enhance drone autonomy and performance

.

Basic Requirements:

Bachelor's or Master's degree in either of the following:

Electrical Engineering, Robotics, Aerospace Engineering, Electronics Engineering, Computer Science.

Industry experience relevant to Drones/ Robotics/ Aerospace/ Autonomous Systems of 2+ years for Master's, and 5+ years for Bachelors. Expertise in

Linear Algebra, Probability,

and

Statistical Methods.

Strong proficiency in

C++ and Python

for robotics software development. Understanding of threading, multi-processing, and

OOPS

. Expertise in

robotics frameworks

(ROS/ROS2, PX4/ArduPilot, MAVLink). Deep understanding of

system dynamics

(ODE and DAE)

, control theory

(LQR, MPC, Stability Analysis, Linearization)

, path planning, perception, sensor fusion

(EKF/ UKF)

, parameter estimation

, and

state estimation

Hands-on experience with

hardware integration

: IMUs, monocular camera, and 2D LiDAR. Experience in

simulation tools

(Gazebo, RViz, MATLAB). Familiarity with

embedded systems

(single-board computers and microcontrollers). Strong analytical, debugging, and problem-solving skills. Excellent communication and leadership abilities to work in cross-disciplinary teams.

Preferred/Bonus Skills:

Experience with

computer vision

(classical and deep learning)

, EO/IR systems, and object detection/tracking

in complex environments. Hands-on flight experience with drones for testing and validation. Experience with

multi-agent systems, swarm robotics, or formation control

. Familiarity with

machine learning for robotics

(reinforcement learning, behaviour cloning, imitation learning). Knowledge of

secure communication protocols, encryption, and cybersecurity for UAVs

. Familiarity with

flight testing, safety protocols, and risk assessment

for defense operations. Knowledge of

electronic warfare (EW) countermeasures

and UAV resilience against jamming/spoofing. * Knowledge of

regulatory and safety frameworks

for UAVs (FAA/EASA, DO-178C, DO-254).