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Chief Architect - Robotics and Embodied AI

Dayananda Sagar University

2 - 5 years

Bengaluru

Posted: 26/02/2026

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Job Description

Role Overview: Chief Architect - Robotics and Embodied AI


The Chief Architect - Robotics and Embodied AI will lead DSUs efforts to build intelligent humanoid and autonomous robotic systems powered by large-scale learning and reasoning. This role focuses on integrating reinforcement learning, sim-to-real transfer, perception, and cognition to create robots capable of operating in complex, real-world environments.

The laboratory will develop Large Action Models (LAMs), reasoning-driven control systems, and human-robot interaction frameworks, positioning DSU at the forefront of embodied intelligence research. The Chief Architect will oversee massive simulation pipelines, real-world robotic deployments, and interdisciplinary collaboration across AI, mechanical systems, and cognitive science.

This role also plays a key part in building Indias sovereign robotics capabilities by partnering with industry, nurturing startups, and translating research breakthroughs into deployable robotic platforms.


Short Summary:

Leads Robotics and Embodied AI, building reasoning-driven robots using large-scale reinforcement learning and sim-to-real intelligence.


Key Responsibilities:

  • Design and train Large Action Models (LAMs) for humanoid and autonomous robots.
  • Utilize 20% of B200 compute for massive reinforcement learning simulations.
  • Lead research in embodied AI, sim-to-real transfer, and robot cognition.
  • Develop Indias first reasoning-based humanoid intelligence platforms.
  • Establish collaborations with robotics companies and global research labs.
  • Guide PhD and postdoctoral research in advanced robotics and AI systems.


Desired Profile:

  • Senior roboticist from Boston Dynamics, Tesla Optimus, or equivalent advanced robotics teams.
  • Distinguished faculty from CMU Robotics Institute, ETH Zurich, or similar institutions.
  • Proven expertise in reinforcement learning, robotic perception, and human-robot interaction.


Date: 24-02-2026

Dr. D. Premachandra Sagar

Pro Chancellor, DSU

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