Robot Ai Researcher Advanced Robotics Job in Addverb Technologies

Job Title: Robot AI Researcher Advanced Robotics

Location: Noida

Role Overview

As a Robot AI Researcher, you will develop and deploy advanced AI algorithms for robotic systems, focusing on vision, perception, and motion planning. You will collaborate with cross-functional teams to optimize AI models and integrate them into real-world robotic applications. This role is part of the Advanced Robotics team, working on innovative projects like Collaborative Robots, Quadrupeds (Trakr), Remote Ultrasound Solutions, and Bi-Ped Robots all aimed at shaping the future of robotics.

Key Responsibilities

• Design and implement AI algorithms for robotic systems, focusing on computer vision, perception, motion planning, and reinforcement learning.
• Develop and deploy machine learning and deep learning models (e.g., CNNs, RNNs, GANs) for applications like object recognition, path planning, and autonomous decision-making.
• Enhance RL/IL processes to improve sample efficiency, learning speed, and scalability.
• Apply reinforcement learning techniques to optimize robotic behaviors such as navigation, manipulation, and task execution.
• Train multimodal robot foundation models using large-scale datasets.
• Optimize AI models for real-time performance and deployment on robotic platforms.
• Use data augmentation and simulation techniques to improve model robustness.
• Leverage CUDA programming for GPU acceleration to enhance model training and deployment speed.
• Test AI-driven robotic prototypes in real-world scenarios and refine models based on performance analysis.
• Collaborate with hardware engineers, roboticists, and software developers to integrate AI into fully functional robotic systems.

Education & Experience

• PhD or Master s degree in Robotics, Computer Science, Computer Vision, Artificial Intelligence, or related fields.
• 2 to 5 years of experience in AI research and development for robotic systems.

Technical Skills

• Proficiency in Python, C++, and CUDA for AI development and optimization.
• Experience with AI frameworks and libraries like TensorFlow, PyTorch, OpenCV, and scikit-learn.
• Strong knowledge of reinforcement learning, deep learning, and general machine learning techniques.
• Familiarity with Foundation Models, Physical AI, and Visual Language Action (VLA) Models is preferred.
• Knowledge of robotic sensors (LiDAR, cameras, IMUs) and Robot Operating System (ROS).
• Hands-on experience developing real-time AI algorithms for robotic platforms.
• Ability to handle large datasets, perform thorough model evaluation, and optimize for computational efficiency and real-time processing.