Python Engineer - NVIDIA Omniverse Solutions

Role : Python + NVIDIA Omniverse Engineer

Total Experience: 5 - 8 years

Job Summary:

We are looking for a strong Python Engineer to develop simulation and digital twin solutions using NVIDIA Omniverse. Candidates with experience in simulation, robotics, game development, real-time 3D visualization, or interactive applications are preferred. 3D design or modelling experience is not required.

Key Responsibilities :

• Develop scalable Python applications, REST APIs, microservices, and automation solutions.
• Build simulation, digital twin, and interactive applications using NVIDIA Omniverse, Isaac Sim, OpenUSD, or similar technologies.
• Develop digital twins for factories, machines, robots, and industrial processes, including virtual commissioning and simulation validation.
• Integrate PLC, IoT, CAD, PLM, ERP, and MES systems for real-time data synchronization.
• Implement CI/CD, automated testing, debugging, performance optimization, and deployment best practices.
• Collaborate with robotics, manufacturing, and automation teams to support virtual testing and smart factory initiatives.
• Explore AI/GenAI capabilities for process optimization and workflow automation.

Required Skills:

• 5+ years of Python development with strong OOP, design patterns, and software engineering fundamentals.
• Experience with FastAPI/Flask/Django, REST APIs, microservices, and SQL/NoSQL databases.
• Knowledge of Git, CI/CD, Agile, and DevOps practices.
• Experience in simulation, digital twins, game development, interactive 3D, or visualization applications.
• Understanding of rendering pipelines, physics simulation, scene optimization, robotics simulation, and industrial automation.
• Knowledge of data interoperability and enterprise system integration.

Good to Have:

• Hands-on experience with NVIDIA Omniverse, Isaac Sim, OpenUSD, Omniverse Kit, or Blueprints.
• Knowledge of ROS/ROS2, PLC/IoT integration, computer vision, or deep learning.
• Experience in manufacturing, smart factories, and cloud platforms (Azure/AWS/GCP)