Educational Requirements

Bachelor of Engineering

Service Line

Global Delivery

Responsibilities
Design and develop Simultaneous Localization and Mapping (SLAM) algorithms for robust localization and mapping in indoor and outdoor settings.
Research, implement, and evaluate Vision-Language Navigation (VLN) models for instruction-guided autonomous navigation.
Develop and deploy Vision-Language-Action (VLA) models enabling robots to perceive, reason, and execute complex manipulation tasks.
Build autonomous navigation solutions using path planning, motion planning, obstacle avoidance, and trajectory optimization techniques.
Work with robotic platforms including wheeled robots, UGVs, UAVs, mobile manipulators, and drone-based manipulation systems.
Develop kinematic and agile models, including forward kinematics, inverse kinematics, motion control, and whole-body planning for robotic manipulators.
Integrate and optimize robotic software using ROS/ROS 2, sensor fusion frameworks, and distributed robotic architectures.




Create high-fidelity simulation environments using Isaac Sim, Gazebo, Omniverse, AirSim, MuJoCo, or similar simulators for development and validation.
Implement perception pipelines leveraging computer vision, visual foundation models, multimodal AI, and sensor fusion across cameras, LiDARs, IMUs, GPS, and depth sensors.
Utilize the NVIDIA Physical AI ecosystem, including Isaac Lab, Isaac Sim, Isaac ROS, Cosmos, Jetson, and Omniverse for robot learning and deployment.
Develop AI-driven robotic solutions using Python, deep learning frameworks (PyTorch/TensorFlow), and reinforcement learning techniques.
Evaluate robotic systems using simulation and real-world benchmarks, focusing on robustness, safety, scalability, and deployment readiness.

Additional Responsibilities:
Essential Qualification: Master's in Robotics, Computer Science, AI, Machine Learning, Electrical Engineering, or related field.
Desired Qualification: PhD in

📌 Autonomous Machines Bengaluru (India)
🏢 Infosys
📍 India