Location: Thiruporur,Chengalpattu, India
Job Summary
We are seeking a highly motivated and experienced Robotics Engineer to develop autonomous robotic systems with expertise in perception, localization, mapping, navigation, and AI-driven robotics. The ideal candidate should have strong hands-on experience in ROS-based development, computer vision, deep learning, and simulation environments. Experience in UAVs and autonomous vehicle platforms is an added advantage.
Key Responsibilities
- Design, develop, and deploy software for autonomous robotic systems.
- Develop AI and Deep Learning models for robotic perception and decision-making.
- Design and implement mapping, localization, navigation, and SLAM algorithms.
- Develop perception pipelines using cameras, LiDAR, IMU, GNSS, and other senso
- rs.Build and maintain ROS/ROS2-based robotics applicatio
- ns.Process and analyze point cloud data using P
- CL.Develop computer vision applications using Open
- CV.Integrate and optimize AI models for real-time robotic applicatio
- ns.Develop, test, and validate robotic software in simulation and real-world environmen
- ts.Perform sensor calibration, system integration, and performance optimizati
- on.Collaborate with cross-functional teams including embedded, hardware, AI, and software enginee
- rs.Document software architecture, technical designs, and validation results.
Mandatory Qualifications & Skills
- Bachelor's or Master's degree in Robotics, Computer Science, Electronics, Mechatronics, Artificial Intelligence, or a related field.5–7 years of hands‑on experience in robotics software development.
- Strong programming skills in C++ and Python.
- Extensive experience with ROS/ROS2.
- Hands‑on experience in Artificial Intelligence (AI) and Deep Learning.
- Strong knowledge of OpenCV.
- Experience with Point Cloud Library (PCL)
- Strong understanding of Mapping, Localization, and SLAM.
- Experience integrating LiDAR, Camera, IMU, GNSS, and other robotic sensors.
- Experience with Linux development, Git, debugging, and software version control.
- Experience with UAV/Drone software development.
- Hands‑on experience with ArduPilot or PX4.
- Experience using Mission Planner or QGroundControl.
- Experience in GNSS-denied navigation, Visual SLAM, and Visual‑Inertial Odometry (VIO).
- Experience with autonomous navigation and sensor fusion algorithms.
- Experience deploying AI models on embedded platforms such as NVIDIA Jetson.
- Familiarity with CUDA, TensorRT, Docker, and CI/CD pipelines.
Simulation Experience (Preferred)
Candidates with experience in one or more of the following simulation environments will be preferred:
- AirSim
- Gazebo
- CARLA Simulator
- CarMaker
- Isaac Sim (desirable)
- Unreal Engine or Unity‑based simulation environments (desirable)
Preferred Domain Experience
Experience in one or more of the following domains is highly desirable:
- UAVs and Drone Autonomy
- Autonomous Driving Systems
- Computer Vision and AI
- Multi‑Sensor Fusion
- Perception and Navigation Systems
What We Offer
- Opportunity to work on cutting‑edge robotics, AI and UAV technologies.
- Exposure to advanced simulation platforms and real‑world robotic deployments.
- Career growth with challenging projects in autonomy, perception, and intelligent mobility.