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Robotics Engineer

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Onsite

Robotics Engineer

Tata Consultancy Services

Robotics Engineer

Skills

AI

1 month ago

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Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Onsite

Published on:

22 September 2026

What they need


JD

Role : Robotics & Control Systems Engineer

Experience : 8 to 12 years

Notice Period : Any

Mode : Work from Office

Location : Hyderabad , Pune ,Chennai, Kolkata ,Delhi & Bengaluru

Key Skills & Competencies

  • 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 Platform & Technology Expertise

  • 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
  • NVIDIA GR00T awareness for future robotics foundation model opportunities

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