Ominiverse – Software Engineer II
Indexed description
Work you'll do
As a Senior Engineer II, Omniverse on the Enterprise Performance team, you will be responsible for supporting digital twin platform development and implementation activities across industrial and manufacturing use cases.
- Support the design, development, and deployment of Omniverse-based digital twin solutions for manufacturing and industrial environments.
- Build and support workflows using Universal Scene Description, RTX rendering pipelines, Isaac Sim, and ROS 2 for simulation and visualization use cases.
- Develop Python- and C++-based functionality to enable platform integration, simulation workflows, and performance-oriented solution components.
- Support integration of 3D content, computer-aided design assets, and related tools such as Blender, Maya, or Unity into digital twin environments.
- Contribute to cloud-based and distributed platform deployment activities across Amazon Web Services, Microsoft Azure, or Google Cloud Platform environments, including GPU-enabled workloads and platform scalability.
Location: Bengaluru / Hyderabad / Pune / Chennai
Shift Timings: 11 AM to 8 PM or 2 PM to 11 PM IST, as per business requirements
Qualifications
Required:
- Bachelor of Engineering, Bachelor of Technology, Master of Computer Applications, Master of Technology, or equivalent degree from an accredited university
- 3-6 years of experience with Omniverse, Universal Scene Description, RTX rendering pipelines, Isaac Sim, or ROS 2
- Experience supporting digital twin, simulation, or industrial platform implementations in manufacturing or industrial environments
- Experience developing applications or solution components using Python or C++
- Experience with manufacturing systems, robotics, or industrial control architectures
- Experience integrating 3D content pipelines or computer-aided design assets using tools such as Blender, Maya, or Unity
- Experience supporting distributed systems or cloud environments on Amazon Web Services, Microsoft Azure, or Google Cloud Platform, including GPU-enabled workloads
- Experience with Modulus, Generative Artificial Intelligence, or Artificial Intelligence and Machine Learning use cases
- Experience configuring or supporting cloud-native architectures and platform scalability
- Experience supporting architecture, design, or deployment decisions for digital twin platforms
- Experience integrating simulation, visualization, and industrial data workflows in manufacturing environments
- Experience with DevOps tools, deployment pipelines, or environment management for scalable platforms
- Experience documenting technical designs, solution components, or implementation workflows #SCNOFY27LinkedInbanner
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Requisition code: 351477
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