Robotics Engineer

Tata Consultancy Services; Hyderabad; On-site; INR 2,200,000 - 3,400,000; Full time

Job summary

Tata Consultancy Services in Hyderabad, India seeks an experienced robotics software engineer to design and validate control and motion-planning stacks for robot platforms. You will support sim-to-real transfer, integrate perception, planning and control with hardware-in-the-loop rigs, and collaborate with hardware teams.

Work experience in ROS/ROS2, sensor fusion, and NVIDIA Jetson platforms is essential, with emphasis on edge inference, validation, and safety protocols across AMR and robotics

Qualifications

• Experience in classical and modern control theory, kinematics, dynamics, trajectory generation, and motion planning.
• Experience with reinforcement learning, imitation learning, policy training, and sim-to-real transfer.
• Proficiency in ROS/ROS 2 development, sensor fusion, state estimation, LiDAR, camera, and IMU integration.
• Experience with embedded/edge deployment, preferably on NVIDIA Jetson platforms.
• Robotics validation practices including calibration, sensor placement, ground-truth verification, and safety testing.
• Collaborates with Physical AI Architects, Leads, Engineers, and hardware teams.

Responsibilities

• Design and validate control algorithms and motion-planning stacks for target robot platforms.
• Support sim-to-real transfer of policies trained in Isaac Lab and tune for domain gaps.
• Integrate perception, planning, and control modules with hardware-in-the-loop test rigs.
• Validate AMR fleet, robotic-cell, and safety use cases against applicable blueprint patterns.
• Collaborate on Jetson-based edge deployment and onboard inference optimization.
• Contribute to test protocols, safety validation documentation, and field trial support.
• NVIDIA Isaac Lab for reinforcement/imitation learning workflows.
• NVIDIA cuMotion for accelerated motion planning.
• NVIDIA Jetson platform for edge/embedded inference.
• NVIDIA Isaac ROS GEMs for perception and navigation.
• NVIDIA Metropolis/VSS for safety and monitoring use cases.

Skills

Control theory

Kinematics

Dynamics

Trajectory gen

Motion planning

Reinforcement learning

Imitation learning

ROS/ROS2

Sensor fusion

State estimation

LiDAR

Camera

IMU integration

Jetson edge

Safety testing

Cross-functional collab

Tools

NVIDIA Jetson

ROS/ROS2

Isaac Lab

cuMotion

Edge deployment

Safety validation

Job description

Experience : 8 to 12 years

Notice Period : Any

Mode : Work from Office

• Classical and modern control theory, kinematics, dynamics, trajectory generation, and motion planning
• Reinforcement learning, imitation learning, policy training, and sim-to-real transfer
• ROS/ROS 2 development, sensor fusion, state estimation, LiDAR, camera, and IMU integration
• Embedded/edge deployment experience, preferably with NVIDIA Jetson platforms
• Robotics validation practices including calibration, sensor placement, ground-truth verification, and safety testing
• Cross-functional collaboration with Physical AI Architects, Leads, Engineers, and hardware teams

Key Responsibilities

• Design and validate control algorithms and motion-planning stacks for target robot platforms
• Support sim-to-real transfer of policies trained in Isaac Lab and tune for domain gaps
• Integrate perception, planning, and control modules with hardware-in-the-loop test rigs
• Validate AMR fleet, robotic-cell, and safety use cases against applicable blueprint patterns
• Collaborate on Jetson-based edge deployment and onboard inference optimization
• Contribute to test protocols, safety validation documentation, and field trial support
• NVIDIA Isaac Lab for reinforcement/imitation learning workflows
• NVIDIA cuMotion for accelerated motion planning
• NVIDIA Jetson platform for edge/embedded inference
• NVIDIA Isaac ROS GEMs for perception and navigation
• NVIDIA Metropolis/VSS for safety and monitoring use cases