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 Responsibilities - Design 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&Qualifications - Bachelor’s / Master’s in Computer Science, Robotics, AI/ML, Electronics, Mechatronics, or related field. - Strong experience in Python and C++. - Hands-on experience in Machine Learning / Deep Learning frameworks: - TensorFlow - PyTorch - OpenCV - Scikit-learn - Experience in robotics frameworks:- ROS / ROS2 - MoveIt - SLAM frameworks - Strong understanding of: - Computer Vision - Sensor Fusion - Path Planning - Motion Control concepts - Reinforcement Learning - Kinematics&Robot Dynamics - Experience with GPU acceleration / CUDA is preferred. - Knowledge of cloud or MLOps deployment is a plus. Preferred Experience - Experience 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 Competencies - Problem-solving mindset - Innovation-driven approach - Cross-functional collaboration - Strong debugging and analytical skills - Ownership and execution focusNice to Have - Experience with NVIDIA Isaac SDK - OpenAI Gym / RLlib - Docker / Kubernetes - Git / CI/CD workflows