Digital-Twin & Robotics Simulation Lead

Quest Global; Hyderabad; On-site; INR 2,600,000 - 4,800,000; Full time

Job summary

Quest Global is hiring a Digital-Twin and Robotics Simulation Engineer to build high-fidelity digital twins on NVIDIA Omniverse/Isaac Sim for humanoid robotics. You will create scenes, sensors, and data pipelines, and contribute to policy training and validation before deployment.

You will leverage Unity/Unreal background, Python tooling, and USD workflows while collaborating with AI, embedded, and 3D teams to ensure accurate, scalable simulations.

Qualifications

• Bachelor's or master's degree in computer science, robotics, computer engineering, or related field.
• 4–9 years of software/simulation engineering experience with NVIDIA Omniverse and Isaac Sim.
• Experience with Isaac Lab, Isaac GR00T, and/or NVIDIA Cosmos world models.
• Strong Python scripting for simulation automation, data pipelines, and tooling.
• Solid foundation in 3D graphics, physics-based simulation, and real-time rendering concepts.
• Prior experience with Unity3D or Unreal Engine using C++ and/or C# and transition to NVIDIA Omniverse/Isaac.
• Understanding of USD-based workflows and asset/scene pipelines.
• Familiarity with ROS/ROS2 middleware and robot control stacks.
• Experience with Git, Agile development, and collaborative engineering practices.
• Good communication and documentation skills; ability to work with cross-functional teams.

Responsibilities

• Build and maintain physically accurate digital twins of robot platforms using NVIDIA Omniverse and Isaac Sim.
• Set up scenes, sensors, physics, and environment randomization for synthetic data generation.
• Support training and validation of robot policies by preparing simulation-ready datasets and trajectories.
• Develop Python-based tooling to automate scene generation and data export.
• Integrate Omniverse/Isaac outputs with ROS2 nodes and AI training workflows.
• Coordinate with embedded teams to align simulation timing with hardware-in-the-loop requirements.
• Validate simulation fidelity against real robot behavior and iterate on physics tuning and sensor models.
• Collaborate with 3D content, AI/ML, and embedded engineers to keep assets and policies in sync.
• Document simulation architecture and pipelines for reuse across future robot programs.
• Participate in Agile ceremonies and technical design reviews.

Skills

Python

3D graphics

Unity3D

Unreal Engine

C++

C#

USD workflows

URDF

Git

Agile

ROS 2

Education

Bachelor's degree

Master's degree

Tools

NVIDIA Omniverse

Isaac Sim

Isaac Lab

Isaac GR00T

Cosmos world models

Job description

Dear Candidate,

Greetings from Quest Global!

We have a great opportunity for you, please find the details below.

Location Base Location Hyderabad (Japan)

Experience- 4 to 9 Years

Job Requirements

We are looking for a Digital-Twin and Robotics Simulation Engineer to build and maintain the simulation-first pipeline for a humanoid robotics program. The role centers on building high-fidelity digital twins in NVIDIA Omniverse / Isaac Sim, generating synthetic data, and supporting policy training and validation for a humanoid robot before it is deployed on physical hardware. Candidates with a strong real-time 3D / simulation background (Unity, Unreal Engine, or similar, using C++/C#) who have since transitioned into the NVIDIA Omnverse / Isaac ecosystem are strongly preferred.

ROLES & RESPONSIBILITIES

• Build and maintain physically accurate digital twins of robot platforms on OpenUSD using NVIDIA Omniverse and Isaac Sim.
• Set up scenes, sensors, physics properties, and environment randomization for synthetic data generation using Isaac Lab / Cosmos world models.
• Support training and post-training of foundation-model robot policies (e.g., Isaac GR00T-class VLA models) by preparing simulation-ready datasets and trajectories.
• Develop Python-based tooling and pipelines to automate scene generation, domain randomization, data export, and simulation-to-training hand-off.
• Integrate Omniverse / Isaac Sim outputs with ROS 2 nodes, middleware bridges, and downstream AI training workflows.
• Work with the embedded / MCU team to align simulation timing, sensor models, and control interfaces with hardware-in-the-loop (HIL) requirements.
• Validate simulation fidelity against real robot behavior and iterate on physics tuning, sensor noise models, and scene accuracy.
• Collaborate with 3D content, AI/ML, and embedded engineers to keep digital assets, physics rigs, and policies in sync across the pipeline.
• Document simulation architecture, pipelines, and configuration for reuse across future robot programs.
• Participate in Agile ceremonies, sprint planning, and technical design reviews.

Work Experience

• Bachelor's or masters degree in computer science, Robotics, Computer Engineering, or a related field.
• 4-9 years of software / simulation engineering experience, including current hands-on work with NVIDIA Omniverse and Isaac Sim.
• Working experience with Isaac Lab, Isaac GR00T, and/or NVIDIA Cosmos world models (or clear ability to ramp up quickly on these).
• Strong Python scripting skills for simulation automation, data pipelines, and tooling.
• Solid foundation in 3D graphics, physics-based simulation, and real-time rendering concepts.
• Prior professional experience with Unity3D or Unreal Engine using C++ and/or C# this real-time engine background, later transitioned into NVIDIA Omniverse/Isaac, is a strong plus.
• Understanding of USD (Universal Scene Description) based workflows and asset/scene pipelines.
• Familiarity with robot description formats (URDF/USD physics articulation) and basic robotics concepts (kinematics, sensors, actuators).
• Experience with version control (Git), Agile development, and collaborative engineering practices.
• Good communication and documentation skills; comfortable working with cross-functional AI, embedded, and simulation teams.

DESIRED / GOOD-TO-HAVE SKILLS

• Exposure to synthetic data generation, domain randomization, and dataset annotation for AI/ML model training.
• Familiarity with ROS/ROS2 middleware and robot control stacks.
• Experience with GPU-accelerated reinforcement learning or imitation learning workflows.
• Exposure to humanoids, AMR, AGV, or robotic-arm simulation projects.
• Knowledge of sensor simulation (LiDAR, depth cameras, IMU) within Omniverse/Isaac Sim.
• Understanding of sim-to-real transfer challenges and techniques.
• Familiarity with cloud/on-prem GPU compute environments for large-scale simulation and training.

DOMAIN EXPERIENCE

• Digital Twin & Simulation Platforms
• Robotics / Humanoid Systems
• NVIDIA Omniverse / Isaac Ecosystem
• Synthetic Data Generation for AI/ML