Robotics Simulation & Control Engineer

Expected Notice Period: 15 Days
Shift: (GMT+05:30) Asia/Kolkata (IST)
Opportunity Type: Remote
What do you need for this opportunity?

Must have skills required:
Mechatronics, or related discipline Bonus Skills, Fusion 360/SolidWorks/Blender, Isaac Sim, ROS, ROS 2, URDF/xacro, C++, Python, Ubuntu

About the Role

Were looking for a Robotics Simulation & Control Engineer with strong expertise in ROS / ROS 2, robotics control, and simulation environments. Youll be responsible for developing, testing, and refining robot behaviours in virtual settings, integrating control systems with real hardware via simulation. Youll also use CAD tools to design environment objects and structures for use in simulated construction or navigation scenarios. This role is ideal for someone who enjoys working at the intersection of robotics, control systems, and digital environments.

Key Responsibilities

Develop control and behaviour logic for robotic systems using ROS / ROS 2 Build and maintain realistic simulation environments within Isaac Sim

Use CAD software (e.g. Fusion 360, SolidWorks, Blender) to create environment assets

Design and test control strategies in simulation before deploying to physical robots

Interface with hardware teams to support real-world testing and control integration

Analyse robot behaviour, sensor feedback, and system performance

Maintain documentation and support reproducibility of all simulation workflows

Requirements

Advanced proficiency in Ubuntu, ROS / ROS 2 and simulation frameworks

Strong proficiency in Isaac Sim, with an understanding of physics-based simulation, contact modelling, and GPU acceleration

Strong coding skills in Python and C++

Experience with CAD tools for creating environment objects (stl, dae, etc.) and testing scenarios

Understanding of robot kinematics, dynamics, control theory, and sensor fusion

Experience with URDF/xacro and robot description models

Bachelors, Masters or higher degree in Robotics, Mechatronics, Computer Science, or related discipline

Bonus Skills

Exposure to machine learning or reinforcement learning for control

Have exposure to Control systems/Adaptive Control

Having exposure to Computer Vision/Image Processing.