Description :

Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs.

Job Summary :

We blend advanced digital technologies, AI simulation, and deep engineering expertise to transform how products are designed, engineered, manufactured, and maintained. Leveraging digital twins, generative AI, and immersive platforms like NVIDIA Omniverse, we deliver high-impact business outcomes.

We are pioneers in Physical AI, developing autonomous and intelligent robotic systems through the convergence of AI, simulation, and real-world deployment. We collaborate with leading ecosystem partners to drive robotics innovation across industries.

We are seeking an experienced robotics leader who can shape next-generation robotics solutions, lead R&D and delivery programs, and translate advanced robotic capabilities into scalable, client-ready outcomes.

Roles & Responsibilities :

- Architect end-to-end digital twin and AI simulation solutions using NVIDIA Omniverse, OpenUSD, Python extensions, and foundation models.

- Define solution blueprints for manufacturing, warehousing, and PLM workflows, integrating generative AI and simulation-driven optimization.

- Develop data integration strategies connecting IoT sensors, PLCs, enterprise systems, and AI simulation engines to virtual environments.

- Lead client workshops, technical assessments, and roadmap creation for digital twin adoption and maturity.

- Extend Omniverse Kit applications, build custom tools, and integrate AI models tailored to client-specific workflows.

- Design cloud deployment architectures enabling scalable digital twin and AI simulation solutions.

- Apply principles from gaming, real-time simulation, and AI to enhance interactivity, visualization, and predictive analytics.

- Support initiatives like synthetic data generation, predictive maintenance, immersive training, and AI-driven optimization.

Professional & Technical Skills :

Must Have :

- Bachelor s or Master s degree in Engineering, Computer Science, or related fields.

- 7+ years of experience in digital twin and AI simulation architecture, with at least 2 years in Omniverse or similar platforms.

- Strong proficiency in Python, OpenUSD, Omniverse Kit SDK, and generative AI frameworks.

- Experience with simulation tools (e.g., Siemens, Ansys), IoT platforms, cloud services (AWS/Azure/GCP), and AI model integration.

- Hands-on familiarity with manufacturing processes, product design workflows, and asset performance management.

Additional Information (Good to Have) :

- Background in game development or real-time 3D environments (Unity, Unreal).

- Experience with NVIDIA RTX rendering, Isaac Sim, robotics simulation, FVDB, or Cosmos World Foundation Models.

- Exposure to PLM, MES, ERP systems and integration with digital twin/AI pipelines.

- Experience in immersive training, virtual commissioning, or foundation model deployment.