Senior / Lead AI Research Engineer – Controls

About the Role 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 robotics control using RL, IL, and Vision-Language Action models. The successful candidate will contribute to ground-breaking research and development in intelligent robotics, collaborating with multidisciplinary teams to deliver impactful solutions.

What You'll Do

• 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, utilizing 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.

What We're Looking For

• Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, Robotics, Artificial Intelligence, or 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 and shell scripting.
• Experience with Docker & containerization and exposure to Cloud services & model deployments.
• Track record of developing and deploying algorithms in real-world robotic systems.
• 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.

Nice to Have

• Familiarity with the Robot Operating System (ROS) for robotic software integration.
• Experience with NVIDIA Omniverse ISAAC Sim, MuJoCo, Gazebo or similar for simulation/testing of robotic controls.
• Knowledge of industry-standard simulation and RL toolkits such as Gymnasium or similar.
• Knowledge of deep learning frameworks (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.

Compensation & Benefits

• Salary and benefits not disclosed in the posting.