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Urgent! Phyiscal AI Engineer Job Opening In India, India – Now Hiring MethdAI - The AI Learning Platform

Phyiscal AI Engineer



Job description

We are seeking a

Physical AI Engineer

to design, develop, and implement AI-driven control and decision-making systems for humanoid robots and embodied agents.

This role involves integrating

vision-language-action models, reinforcement learning, imitation learning, and real-time robotics systems

to create robots capable of performing complex tasks in dynamic environments.

Key Responsibilities
Integrate

AI models (transformers, diffusion policy networks, LLMs, vision-language models)

with physical humanoid robots.
Design real-time

control frameworks

that enable AI decision-making to translate into smooth, safe, and efficient motor actions.
Develop pipelines to align

simulation-to-reality (sim2real)

and optimise robot learning for real-world deployment.
Apply

multi-modal AI learning

(vision, audio, haptics, proprioception) to enhance robot perception and adaptability.
Collaborate with hardware teams to calibrate robot sensors, optimise energy efficiency, and ensure reliable AI control execution.
Develop

safety protocols

for autonomous decision-making in environments with humans.
Conduct experiments in areas such as

human-robot interaction, autonomous navigation, dexterous manipulation, and multi-agent collaboration .
Research and implement

emerging paradigms in Physical AI , including embodied GPTs, action-conditioned transformers, and world-model-based learning.

Required Qualifications
Bachelor’s or Master’s degree in

Robotics, Mechatronics, Computer Science, AI, or a related field

(Ph.D. preferred for senior positions).
Strong background in

machine learning , particularly reinforcement learning, imitation learning, or embodied AI systems.
Hands-on experience with

robotics simulation environments

(Isaac Sim, MuJoCo, Unity, Gazebo).
Proficiency in

Python

and good knowledge of

C++/ROS2

for robotics integration.
Deep understanding of

robotics control theory, kinematics, and sensor fusion .
Demonstrated work with

humanoid robots, quadrupeds, or robotic arms , preferably on vision-language-action models.

Preferred Skills
Familiarity with

NVIDIA Jetson, CUDA optimisation, and real-time robotics inference .
Experience with

large foundation models

adapted for robotics (OpenAI VLA, Google RT-2, Gr00T).
Knowledge of

safety-critical autonomous systems .
Exposure to

distributed training

of large models on RTX/HPC clusters.
Working knowledge of

teleoperation frameworks

(for collecting demonstration data).

What We Offer
Salary Range:

₹15-20 LPA (Lakhs per annum)
The chance to work on

cutting-edge humanoid robotics with embodied AI .
Access to advanced computing infrastructure ( NVIDIA RTX 6000 GPUs, Jetson Thor platforms, VR mocap systems, and Unitree robots ).
A multi-disciplinary team environment spanning

AI research and robotics engineering.
Competitive remuneration and growth opportunities for leadership in

next-gen Physical AI projects .


Required Skill Profession

Engineers



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