CTO – Robotics Research Engineer – Controls

Position Overview

Wipro Innovation Network (WIN) Labs is seeking a passionate and experienced Senior / Lead AI Research Engineer – Controls to join our Robotics & Embodied AI team. This role focuses on advancing the state-of-the-art in robotics control through Reinforcement Learning (RL), Imitation Learning (IL), and Vision-Language Action (VLA) models. The successful candidate will contribute to ground-breaking research and development in intelligent robotics, collaborating with multidisciplinary teams to deliver impactful solutions.

Key Responsibilities

• Design, develop, and implement advanced control algorithms for robotic systems using RL, IL, and VLA methodologies.
• Lead and mentor junior engineers and researchers within the Robotics & Embodied AI team.
• Conduct cutting-edge research in areas such as motion planning, manipulation, and autonomous decision-making for robots.
• Prototype and validate algorithms in simulated and real-world environments, utilising platforms such as ROS, NVIDIA Omniverse ISAAC Sim, and industry-standard toolkits like Gymnasium and similar.
• Collaborate with cross-functional teams to integrate AI-driven controls into next-generation robotic products.
• Publish research findings in top-tier conferences and journals; contribute to patent generation and intellectual property development.
• Stay updated with the latest technological advancements in AI, robotics, and simulation environments.

Required Qualifications

• Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, Robotics, Artificial Intelligence, or a related field.
• 3–6 years of hands-on experience in robotics research, focusing on controls using RL, IL, or related techniques.
• Strong proficiency in Python and C++ programming.
• Expertise with Ubuntu or similar Linux Distributions & Shell Scripting
• Expertise with Docker & Containerization approaches and exposure to Cloud services & model deployments
• Track record of developing and deploying algorithms in real-world robotic systems.

Preferred Skills & Experience

• Familiarity with Robot Operating System (ROS) for robotic software integration.

• Experience with NVIDIA Omniverse ISAAC Sim, MuJoCo, Gazebo or similar for simulation and testing of robotic controls.
• Knowledge of industry-standard simulation and RL toolkits such as Gymnasium or similar
• Knowledge of deep learning frameworks (e.g., PyTorch, TensorFlow).
• Expertise in multi-agent systems, sensor fusion, computer vision, or natural language processing in robotics contexts.
• Experience in leading research projects or engineering teams.

Personal Attributes

• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.
• Ability to work independently as well as part of a diverse team.
• Proactive attitude with a passion for innovation in robotics and AI.