Humanoids Robotics Researcher

Infosys; Bengaluru; On-site; INR 1,500,000 - 3,500,000; Full time

Job summary

Infosys in Bengaluru seeks a Humanoids Researcher with hands-on robotics training, focusing on robot learning, control, and perception. You will contribute to embodied AI research and real‑world humanoid tasks in a collaborative setting.

Experience in AI architectures, multi-modal sensing, and simulation tools like Gazebo/RViz will help prototype humanoid systems and validate ideas in secure, scalable environments.

Qualifications

• Hands-on robotics research experience in a lab or industry setting.
• Experience with robot learning techniques (reinforcement learning, imitation learning) and classical control methods.
• Strong understanding of robot kinematics, dynamics, and sensors in real-world systems.
• Proficiency in robotics software and programming (ROS/ROS2, C++, Python, MATLAB/Simulink).

Skills

Robotics

Robot learning

Kinematics & dynamics

Control systems (PID, MPC)

ROS/ROS2

Simulation tools (Gazebo, Isaac Sim,RV

AI architectures (LLMs, SLAM, VLMs)

Multimodal sensor fusion

Education

PhD or Master’s in CS/Mechatronics/Robotics

Job description

Humanoids Researcher Skills

• Hands-on training experience in Robotics
• Hands-on training experience in robot learning techniques, such as reinforcement learning, imitation learning as well as classical control methods
• Understanding of Robot kinematics, dynamics and sensors
• Familiarity with control as PID, model predictive control (MPC), and whole-body control.
• Skills in algorithmic problem solving and software proficiency for Robotics (ROS/ROS2, C++, Python, C++, C#, MATLAB/Simulink, and/or C/C++ for embedded systems).
• Simulation expertise using tools such as Gazebo, NVIDIA Isaac Sim, RViz, and MuJoCo for modeling and testing robotic systems.
• Experience with AI architectures, including LLMs, foundation models, robotic world models, SLAM, VLMs, and VLAs.
• Experience in multimodal sensor fusion, combining data from vision, depth, and other sensors for robotics applications.
• Competence in simulation environments and modeling (Gazebo, Issac Sim, 3D simulation).

Preferred Qualification

• PhD/DSc (preferred) or Master’s in Computer Science, Mechatronics, Mechanical Engineering, Robotics, Electrical/Electronics Engineering, or a related technical field.

Preferred Research Background (research experience in one or more of the following areas)

• Embodied AI (Multi-modal perception, Cognition, Learning, Decision Making)
• Action Planning & Decision Making (Autonomous task execution, Intent prediction, Scene Reconstruction, Adaptive behavior)
• Motion & Movement Control (Kinematics, Dexterity, Locomotion, Balance & Gait Control, Manipulation, Common sense reasoning)
• Simulation & Testing Environments (Physics Modelling, High-Fidelity Motion Simulation, Environment Mapping)
• Human-Robot, Robot-Robot Interaction (Cognitive Interfaces, Interaction Safety, User Experience, Swarm Intelligence, Robot-Environnent interaction)