Senior / Lead AI Research Engineer

About the job

Job Description – Senior / Lead AI Research Engineer (Controls – Robotics / Embodied AI) Location: Bangalore Experience: 3–6 years (Senior) | 6–9 years (Lead) Role Overview The Senior / Lead AI Research Engineer – Controls will focus on developing advanced control algorithms for intelligent robotic systems using Reinforcement Learning (RL), Imitation Learning (IL), and Vision-Language-Action (VLA) models. The role combines research and applied engineering to build scalable, high-performance control systems for real-world robotics applications. Key Responsibilities • Design, develop, and implement advanced control algorithms using RL, IL, and VLA methodologies. • Conduct research in motion planning, robotic manipulation, and autonomous decision-making. • Prototype and validate control algorithms in simulation and real-world environments. • Work with tools such as ROS, NVIDIA Omniverse Isaac Sim, Gymnasium, and other simulation platforms. • Collaborate with cross-functional teams to integrate AI-driven control systems into robotics products. • Mentor junior engineers and contribute to technical leadership. • Publish research papers, contribute to patents, and drive innovation. • Stay updated with advancements in robotics, AI, and control systems. Required Qualifications • Bachelor’s, Master’s, or PhD in Computer Science, Robotics, AI, Electrical Engineering, or related field. • 3–6 years of experience in robotics research with focus on control systems (or 6–9 years for Lead role). • Strong programming skills in Python and C++. • Hands-on experience with RL, IL, or similar control methodologies. • Experience working in Linux/Ubuntu environments with shell scripting. • Experience with Docker, containerization, and cloud-based model deployment. • Track record of implementing and deploying algorithms in real-world robotic systems. Preferred Skills • Experience with Robot Operating System (ROS). • Experience with simulation platforms such as NVIDIA Omniverse Isaac Sim, MuJoCo, or Gazebo. • Familiarity with reinforcement learning toolkits such as Gymnasium. • Experience with deep learning frameworks such as PyTorch or TensorFlow. • Knowledge of multi-agent systems, sensor fusion, computer vision, or NLP in robotics. • Experience leading research initiatives or engineering teams. Soft Skills • Strong analytical and problem-solving skills. • Excellent communication and collaboration abilities. • Ability to work independently and in multidisciplinary teams. • Passion for innovation in robotics and AI. Interested candidates can share their cv at yashika.agarwal@brihatisglobal.com / 8376034231

Requirements

• Reinforcement Learning
• Imitation Learning
• Vision-Language-Action
• Python
• C++

Qualifications

• Bachelor’s in Computer Science
• Master’s in Robotics
• PhD in AI
• Electrical Engineering

Preferred Technologies

• Reinforcement Learning
• Imitation Learning
• Vision-Language-Action
• Python
• C++