This role offers the opportunity to work on innovative projects in areas like autonomous navigation, robot perception, machine learning, and control systems.

Key Responsibilities :

- System Design & Development : Design and develop robotic systems, including hardware (e.g., sensors, actuators, controllers) and software (e.g., algorithms, control systems).

- Autonomous Navigation : Work on algorithms for autonomous robot navigation, including path planning, localization, and motion control.

- Sensor Integration : Integrate and optimize sensor systems (LIDAR, cameras, IMUs, etc.) to provide feedback for robot perception and decision-making.

- Machine Learning : Implement machine learning algorithms for robot vision, decision-making, and object recognition.

- Control Systems : Develop and optimize control algorithms for precise robot movement, grasping, manipulation, and other robotic tasks.

- Testing & Validation : Conduct thorough testing, debugging, and validation of robotic systems in both lab environments and real-world applications.

- Collaboration : Work closely with cross-functional teams, including hardware engineers, software developers, and data scientists, to deliver integrated robotic solutions.

- Documentation : Document design specifications, test results, and maintain clear records of work for both internal and external stakeholders.

- Research & Innovation : Stay updated with the latest trends in robotics, AI, and automation to drive innovation within the company.

Required Qualifications :

- Education : Bachelor's or Master's degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field.

Experience :

- 3+ years of hands-on experience in designing, building, and deploying robotic systems.

- Strong experience with robot programming and control systems (ROS, RTOS, or similar).

- Experience with sensor integration (LIDAR, cameras, IMUs, etc.) and multi-sensor fusion.

- Proficiency in programming languages such as C++, Python, or MATLAB.

- Experience with robotic simulation tools (e.g., Gazebo, V-REP, Webots).

- Solid understanding of kinematics, dynamics, and control theory.

- Hands-on experience with hardware components like actuators, motors, and embedded systems.

- Familiarity with machine learning techniques applied to robotics (e.g., reinforcement learning, object recognition).

Tools & Software :

- Experience with version control (Git).

- Familiarity with CAD tools for hardware design (SolidWorks, AutoCAD, etc.).

- Knowledge of cloud platforms and edge computing for real-time robot data processing.

- Problem-Solving : Strong troubleshooting skills in hardware, software, and system integration.

- Collaboration : Excellent communication and teamwork skills in a multi-disciplinary environment.

Preferred Qualifications :

- Advanced Robotics : Experience with autonomous mobile robots, drones, or industrial robots.

- AI & Perception : Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) for robotic perception tasks (object detection, segmentation, etc.).

- Control Theory : Advanced knowledge of control algorithms (PID, Model Predictive Control, Kalman Filters, etc.).

- Industrial Robotics : Experience with industrial automation and robotics (e.g., ABB, KUKA, FANUC).

- Hardware Prototyping : Hands-on experience with hardware prototyping and embedded systems development (e.g., Arduino, Raspberry Pi, FPGA).

- Publications & Contributions : Participation in robotics competitions (e.g., RoboCup, DARPA challenges), open-source robotics projects, or academic publications in robotics.

The job is for:

Women candidates preferred

Ex-defence personnel preferred

For women joining back the workforce