Ominiverse – Software Engineer III

Omniverse – Software Engineer III

Join Deloitte’s Enterprise Performance practice as a Software Engineer III, Omniverse, where you will support the design, development, and deployment of digital twin solutions for manufacturing and industrial environments. In this role, you will contribute to platform architecture, simulation enablement, 3D and computer-aided design data integration, and scalable cloud-based solution delivery using Omniverse and adjacent technologies. You will work across cross-functional teams to help translate industrial and manufacturing requirements into practical technical solutions that improve visualization, simulation, and operational decision-making.

Work you’ll do

As a Software Engineer III, Omniverse on the Enterprise Performance team, you will be responsible for supporting and delivering digital twin platform initiatives across industrial and manufacturing use cases.

• Lead the design, development, and deployment of Omniverse-based digital twin solutions for manufacturing and industrial environments.
• Build and enhance workflows using Universal Scene Description, RTX rendering pipelines, Isaac Sim, and ROS 2 for simulation, visualization, and industrial use cases.
• Develop Python- and C++-based solution components to support platform integration, simulation workflows, performance optimization, and scalable system design.
• Integrate 3D content pipelines, computer-aided design assets, and tools such as Blender, Maya, or Unity into digital twin environments to support end-to-end solution delivery.
• Support cloud-based and distributed platform deployment across Amazon Web Services, Microsoft Azure, or Google Cloud Platform environments, including GPU-enabled workloads, platform scalability, and operational reliability.

The team

Enterprise Performance

Our Enterprise Performance team is at the forefront of enterprise technology, working across finance, supply chain, and IT operations to support the delivery of holistic performance improvement and digital transformation. We support Deloitte client service teams of strategic advisors and architects, differentiated by our industry depth to help collaborate with leading insights providers and leverage your experience in strategy, process design, technology enablement, and operational services to enable the heart of business solutions.

The Enterprise Performance team leverages deep industry knowledge, strong analytical skills, and practical approaches to address clients’ toughest business challenges. Our professionals as part of the Supply Chain Network Operations (SCNO) service line within Enterprise Performance focus on helping organizations achieve sustainable competitive advantage throughout their operations, spanning product development, planning, sourcing, manufacturing, logistics, and distribution. We excel at translating strategic objectives into tangible, measurable outcomes at the operational level. By aligning high-level goals with frontline execution, we ensure our clients realize real value and improved performance across every stage of their supply chain and operations.

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
• 7-10 years of experience with Omniverse, Universal Scene Description, RTX rendering pipelines, Isaac Sim, or ROS 2
• Experience delivering digital twin, simulation, or industrial platform implementations in manufacturing or industrial environments
• Experience developing applications or platform 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

Preferred:

• Experience with Modulus, Generative Artificial Intelligence, or Artificial Intelligence and Machine Learning use cases
• Experience supporting cloud-native architectures, platform scalability, or distributed solution design
• Experience supporting technical architecture decisions for digital twin platforms in industr…