Senior AI Software Engineer (Digital Twin & Industrial Integration)
Role Overview
We are looking for a Senior AI Software Engineer who enjoys the challenge of connecting different technical worlds. In this role, you will be a key technical contributor in building industrial digital twins on the NVIDIA Omniverse platform. You will focus on the integration layer—making sure AI models, 3D simulations, and real-time factory data work together seamlessly. This is a hands-on position for someone who wants to move beyond standard software development and into the future of AI-driven manufacturing.
Key Responsibilities
- System Integration & Development: Develop Python-based applications and extensions within the Omniverse ecosystem. You will help build the bridge between virtual simulations and real-world industrial logic.
- AI Implementation: Work with our AI team to deploy models (Computer Vision, VLM, LLM) into 3D environments, focusing on how these models interact with the digital twin.
- Data Connectivity: Assist in designing and implementing data pipelines that sync real-time data (from PLC, IoT, or MES) with virtual models to create a live digital twin.
- Cross-Team Collaboration: Act as a technical focal point between AI researchers, software engineers, and business stakeholders to turn complex requirements into workable prototypes.
- Technical Mentorship: Share your expertise with the team, conduct code reviews, and help establish best practices for reliable and maintainable code.
Requirements
- Professional Experience: 5+ years in software engineering. We value candidates who have a solid track record of delivering functional software in complex environments.
- Strong Programming: High proficiency in Python. (Experience with C++ is a plus, but not a day-one requirement).
- 3D Curiosity/Experience: Familiarity with 3D engines (Omniverse, Unreal, or Unity) is highly preferred. If you understand 3D math or USD, that's a huge advantage.
- Integration Mindset: Experience (or a strong interest) in connecting software to hardware or industrial systems (like IoT or MES).
- Education: Bachelor's degree in Computer Science, Software Engineering, or a related field.
Language Requirements (Business Necessity)
- Ability to communicate in Mandarin to collaborate effectively with Mandarin-speaking internal stakeholders and regional technical teams.
- Ability to communicate effectively in English for technical documentation and professional reporting.
