Nvidia Omniverse Engineer

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.