Job Description

Remote 2 6 to 10 years Full Time

Key Responsibilities:

Design and implement full-stack applications within NVIDIA Omniverse, integrating real-time simulation, visualization, and digital twin technologies. Develop and extend custom Omniverse extensions using Python, C++, and USD (Universal Scene Description). Create interactive 3D user interfaces and dashboards for manufacturing use cases using Omniverse Kit, Omniverse Code, and Omniverse Nucleus. Build backend services and APIs for communication between Omniverse and external systems (MES, ERP, SCADA, IoT platforms). Collaborate with simulation engineers, UX designers, data scientists, and domain experts to bring digital twin use cases to life. Integrate PLM/CAD data (e.g., CATIA, Siemens NX) with real-time factory models. Optimize 3D scenes and simulation performance for real-time collaboration and rendering. Participate in agile development processes including sprint planning, code reviews, and CI/CD practices. Stay up to date with NVIDIA Omniverse roadmap and proactively evaluate new tools (e.g., Isaac Sim, Factoryverse, Replicator).

Required Skills & Qualifications:

6+ years of professional software development experience. Strong programming skills in Python, C++, and JavaScript. Proven experience developing within the NVIDIA Omniverse ecosystem (minimum 1-2 years hands-on). Deep understanding of USD, Omniverse Kit, and extension development. Experience with 3D graphics APIs (OpenGL, Vulkan) and game engines (e.g., Unity, Unreal) is a plus. Strong knowledge of RESTful APIs, microservices, and database systems (SQL/NoSQL). Exposure to Digital Twin or Industrial Simulation domains. Familiarity with cloud platforms (AWS, Azure, GCP) and DevOps tools (Docker, Git, Jenkins). Experience integrating with enterprise platforms like MES (Siemens Opcenter), ERP (SAP), or PLM systems. Strong debugging, analytical, and problem-solving skills.

Preferred Skills:

Knowledge of AI/ML pipelines, especially computer vision and synthetic data generation (e.g., NVIDIA Replicator). Experience with IoT protocols (MQTT, OPC UA) and factory automation systems. Familiarity with AR/VR, WebGL, or XR environments. Prior experience working on smart manufacturing or Industry 4.0 initiatives.

Educational Qualification:

* Bachelor's or Master's degree in Computer Science, Engineering, or a related field.