Lead Software Engineer - Omniverse at CATERPILLAR ASIA PTE LTD

Bangalore, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

05 Jun, 26

Salary

0.0

Posted On

07 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

NVIDIA Omniverse, USD, Python, 3D Simulation, Real-time Graphics, Industrial Automation, System Integration, Data Analysis, IoT, PLCs, MES, SCADA, Digital Twins, Simulation Optimization, RTX Rendering, Industry 4.0

Industry

Machinery Manufacturing

Description

Career Area: Technology, Digital and Data Job Description: Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. About the Role Build the Digital Backbone of Modern Manufacturing We’re assembling a dynamic team to develop and scale our Manufacturing & Supply Digital Platform—a next-generation software framework that transforms how manufacturing and supply operations connect, collaborate, and optimize. This platform is not an ERP system. It’s a purpose-built digital layer that integrates data, processes, and resources across the entire manufacturing lifecycle—from design and engineering to production and distribution. This initiative is powered by NVIDIA technologies, including the Omniverse platform and AI computing capabilities, enabling immersive digital twins, accelerated simulation, and intelligent automation. You’ll be part of a team that’s not just building software—but shaping the future of how manufacturing works through AI-driven, collaborative, and scalable digital solutions. As part of this initiative, you’ll contribute to: System Integration: Seamlessly connecting diverse manufacturing and supply systems, data sources, and workflows into a unified digital ecosystem. Data-Driven Decision Making: Harnessing real-time data collection, analysis, and visualization to deliver actionable insights and operational intelligence. Automation & Optimization: Driving efficiency through intelligent scheduling, predictive maintenance, and quality control—without replacing core transactional systems. Enhanced Collaboration: Enabling transparent communication and coordination across teams, functions, and geographies. If you're passionate about digital platforms, industrial innovation, and working with cutting-edge technologies—this is your opportunity to make a meaningful impact. This is a unique opportunity to work at the intersection of 3D simulation, AI, and industrial automation, helping us build the next generation of smart factories. Key Responsibilities Develop and deploy digital twins of manufacturing systems using NVIDIA Omniverse and USD (Universal Scene Description). Integrate real-time data from IoT sensors, PLCs, MES, and SCADA systems into Omniverse-based environments. Build custom Omniverse extensions and tools using Python to support manufacturing-specific use cases. Collaborate with process engineers, automation teams, and data scientists to ensure accurate modeling of physical systems. Integrate, Optimize performance and scale simulations for enterprise deployment across multiple sites. Stay current with advancements in Omniverse, digital twin technologies, and Industry 4.0 standards. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Mechanical/Electrical Engineering, or related field. 12+ years of experience in 3D simulation, real-time graphics, or industrial automation. Hands-on experience with NVIDIA Omniverse, USD, and RTX rendering. Strong programming skills in Python. Familiarity with manufacturing systems, including production lines, robotics, and industrial control systems. Experience with 3D modeling tools (e.g., Unity, Blender, Maya) and CAD integration. Understanding of digital twin concepts and their application in manufacturing. Preferred Qualifications Experience with NVIDIA Isaac Sim for robotics simulation. Knowledge of OPC UA, MQTT, or other industrial communication protocols. Familiarity with MES, SCADA, or ERP systems. Exposure to AI/ML for predictive maintenance or process optimization. Experience with cloud platforms (AWS, Azure) and containerization (Docker, Kubernetes). Why Join Us? Be part of a pioneering team shaping the future of smart manufacturing. Work with cutting-edge technologies from NVIDIA and the broader simulation ecosystem. Collaborate with industry experts in automation, AI, and digital engineering. Competitive compensation, flexible work options, and opportunities for growth Posting Dates: March 7, 2026 - March 14, 2026 Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply Not ready to apply? Join our Talent Community. There’s more to work at Caterpillar than just the work itself. We hire smart, friendly people and it shows in our culture. We hold ourselves to high standards and make sure our values of integrity, excellence, teamwork, commitment and sustainability come to life in the way we work. We make sure our employees feel continuously challenged while also supported. We provide professional growth opportunities, including leadership programs. We celebrate the diversity of our team, while also working together as one Caterpillar. Our culture, like everything at our company, is made possible by each employee’s contribution. Person by person, we create the environment we work in, and we are proud of the Caterpillar we’ve built.

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Responsibilities

The role involves developing and deploying digital twins of manufacturing systems using NVIDIA Omniverse and USD, while integrating real-time data from various industrial sources into these environments. Responsibilities also include building custom Omniverse extensions with Python and collaborating with engineering teams to ensure accurate physical system modeling.