Humanoids Researcher

Infosys; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Infosys seeks a research-driven robotics specialist to advance embodied AI, autonomous planning, and motion control on cutting-edge platforms. You will work with cross-functional teams to prototype and validate robot systems using ROS/ROS2, Gazebo, and high-fidelity simulators.

The role emphasizes reinforcement/imitation learning, SLAM, and sensor fusion across vision and depth data within a global delivery context.

Qualifications

• PhD or MSc in robotics/CS/mechatronics or related technical field.
• Strong hands-on robotics experience and research background.
• Proficiency with ROS/ROS2, Gazebo, RViz, MuJoCo and simulator environments.

Responsibilities

• Develop and evaluate robotic systems and autonomous task execution.
• Conduct simulations and real-world experiments to validate algorithms.
• Collaborate with Global Delivery teams on reusable robotic solutions.

Skills

Robotics research

Reinforcement learning

Imitation learning

Control methods (PID, MPC)

ROS/ROS2

Python

C++

Simulation tools

Multimodal sensor fusion

SLAM

Education

PhD in Robotics/CS/Mechatronics

Masters in CS/Robotics related field

Tools

ROS/ROS2

Gazebo

MuJoCo

RViz

NVIDIA Isaac Sim

Job description

Educational Requirements

Bachelor of Engineering, PhD of Computer Science

Service Line

Global Delivery

Responsibilities

• 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-Environment interaction)

Additional Responsibilities

• Preferred Qualification PhD/DSc (preferred) or Masters in Computer Science, Mechatronics, Mechanical Engineering, Robotics, Electrical/Electronics Engineering, or a related technical field.

Technical and Professional Requirements

• 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 sensor
• 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#, 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 Skills

• Technology->AI-Generative AI->Artificial Intelligence - BASIC
• Technology->AI-Physical AI-Robotics Algorithm->Forward/Inverse Kinematics
• Technology->AI-AI Engineering->LLMOps