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5.0 - 7.0 years
12 - 20 Lacs
Bengaluru
Work from Office
Job Summary : We are looking for a highly capable and driven Robotics Engineer to join our growing team. The ideal candidate will bring deep technical experience in robotic control, simulation, and intelligent systems, along with strong cross-functional collaboration skills. You will play a key role in developing and deploying robotic arms, UGVs, and future humanoid systems that integrate sensing, perception, control, and intelligence. Key Responsibilities : Develop and implement forward and inverse kinematics for robotic arms and multi-DOF systems. Design and optimize real-time control systems using PID, FOC, and model-based techniques. Integrate BLDC motors, drivers, encoders, current sensors, and power management into robotic platforms. Work with cross-functional teams (electronics, mechanical, software) to design and validate custom end-effectors, tool changers, and force-feedback interfaces. Create simulation environments in Gazebo, Isaac Sim, Webots, or MATLAB/Simulink and validate physical behaviours. Deploy robotic software on NVIDIA Jetson platforms (Nano, Xavier, Orin) with CUDA acceleration where needed. Implement reinforcement learning models and machine learning pipelines for autonomous task learning and adaptive control. Develop and tune perception systems using RGB, depth, and thermal cameras, LiDAR, and multi-sensor fusion. Program using C++ and Python, integrating seamlessly with ROS1/ROS2. Build robust communication over UDP, TCP, and CAN networks. Contribute to system integration, testing, field validation, and deployment of telerobotic systems. Required Skills & Qualifications : Bachelors or Masters in Robotics, Mechatronics, Electronics, or related discipline. 5 to 7 years of experience in robotics system development, including robotic arms, UGVs, or COBOTs. Proficiency in C++ and Python, with practical ROS-based development experience. Expertise in robotic kinematics/dynamics, trajectory generation, and multi-sensor control loops. Strong background in control systems, motor drivers, BLDC motor tuning, and power systems. Experience with robot simulation and digital twin creation. Familiarity with real-time embedded systems, sensor integration, and calibration workflows. Hands-on experience with camera systems, LiDAR, and perception pipelines. Knowledge of machine learning, especially reinforcement learning models for robotics. Deployment experience on NVIDIA SBCs (Jetson series) and embedded Linux platforms. Experience in networking protocols (UDP/TCP/CAN/I2C/SPI). Ability to collaborate cross-functionally, especially on custom end-effector development and full-stack integration. Bonus Points For : Immediate joining availability. Experience with teleoperation systems, VR/AR control, or gesture-based interfaces. Familiarity with humanoid robotics, balance control, or compliant actuation. Contribution to open-source robotics projects or community forums. Deep knowledge of real-time diagnostics, data logging, and fault-tolerant system design. Exposure to mission-critical or ruggedized robotic deployments. Minimum Experience : 5 to 7 Years. Experience will be overseen if right skillset is available. Join us in shaping the future of human-machine interaction and driving positive change. Apply today !
Posted 5 days ago
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