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 contemporary 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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