Robotics Engineer (Vapi)

We are seeking a highly skilled Robotics AI/ML Engineer to design, develop, and deploy intelligent algorithms for next-generation robotic systems. The ideal candidate will work on AI-driven perception, decision-making, autonomous navigation, and learning systems for humanoid or autonomous robots. This role requires expertise in machine learning, computer vision, robotics software, and real-time system integration.Key ResponsibilitiesDesign and develop AI/ML models for robotic perception, object detection, tracking, and scene understanding.Build intelligent algorithms for autonomous navigation, motion planning, obstacle avoidance, and decision-making.Develop and optimize computer vision pipelines using cameras, LiDAR, depth sensors, IMU, and sensor fusion.Implement deep learning models for robotic applications such as pose estimation, gesture recognition, SLAM, and object manipulation.Work with ROS / ROS2 frameworks for robotic software development and integration.Develop reinforcement learning or imitation learning models for robotic behavior optimization.Integrate AI algorithms with embedded and edge computing platforms (NVIDIA Jetson, Xavier, Orin, Intel platforms).Optimize ML models for real-time inference, low latency, and hardware efficiency.Collaborate with mechanical, electronics, firmware, and control system teams for full robot integration.Conduct simulation and testing using Gazebo, Isaac Sim, Webots, or MuJoCo.Analyze robot performance and continuously improve AI models based on field data.Develop documentation, validation reports, and technical specifications.Required Skills & QualificationsBachelor’s / Master’s in Computer Science, Robotics, AI/ML, Electronics, Mechatronics, or related field.Solid experience in Python and C++.Hands-on experience in Machine Learning / Deep Learning frameworks:TensorFlowPyTorchOpenCVScikit-learnExperience in robotics frameworks:ROS / ROS2MoveItSLAM frameworksStrong understanding of:Computer VisionSensor FusionPath PlanningMotion Control conceptsReinforcement LearningKinematics & Robot DynamicsExperience with GPU acceleration / CUDA is preferred.Knowledge of cloud or MLOps deployment is a plus.Preferred ExperienceExperience in humanoid robotics / autonomous mobile robots / industrial robotics.Knowledge of robotic grasping and manipulation.Experience with AI model deployment on edge devices.Familiarity with LLM/VLM integration for robotics intelligence.Experience in simulation-to-real transfer (Sim2Real).Key CompetenciesProblem-solving mindsetInnovation-driven approachCross-functional collaborationStrong debugging and analytical skillsOwnership and execution focusNice to HaveExperience with NVIDIA Isaac SDKOpenAI Gym / RLlibDocker / KubernetesGit / CI/CD workflows Apply on Kit Job: kitjob.in/job/4mar05