Omniverse Solutions Architect
Indexed description
You will contribute to building powerful multi-GPU, real-time collaboration and simulation platforms that serve as hubs for 3D ecosystem vendors, enabling new capabilities through microservice-based architectures. Your work will help bring complex industrial systems and futuristic concepts to life.
Responsibilities
- Build innovative digital twin solutions and an industrial metaverse with the NVIDIA Omniverse platform for world-class companies
- Solve real-life business challenges in the industrial space, leveraging cutting-edge technologies like NVIDIA Omniverse, or other simulation and optimization engines
- Lead the end-to-end solution design process, including requirements gathering, architectural analysis, and implementation planning
- Provide technical leadership and mentorship to project teams, guiding them through architectural decision-making
- Work closely with subject-matter experts in industrial domains like Automotive, Manufacturing, and Energy to solve clients’ needs innovatively
- Learn emerging technologies and evaluate their potential impact on client engagements and solution architectures
- Work closely with the advanced technologies teams in Robotics, Digital twin, GenAI, IoT, AI/ML, AR/VR, R&D, and others
- 2+ years of architecture experience (designing architecture vision, building and maintaining complex solutions, mitigating associated risks, etc.)
- Experience in driving teams of engineers, decomposing the complexity to work breakdown structure, defining roadmaps and milestones, as well as ensuring successful execution of the implementation plan
- Excellent presentation and communication skills, experienced with driving pre-sales, executive-level presentations, and workshops
- Having 5+ years of experience with Python (or C++, C#)
- Skills with computer graphics, building 3D tools, or 3D applications
- Skills with modern 3D game engine architecture (Unity, Unreal Engine, Godot, etc.) are a big plus
- Hands-on experience implementing discrete events simulations, working with simulation tools and libraries like SimPy, FlexSim, etc.
- Experience in implementing computational optimization solutions leveraging linear programming, different solvers, and implementing solutions using libraries like Gurobi
- Being well-versed in USD or MDL
- Proficiency with the NVIDIA Omniverse platform or building digital twins on other platforms such as Bentley Systems, Tecnomatix, Esri, etc.
- Experience with at least one of the following domains: Big Data, IoT, Computer Vision, Machine Learning, or Generative AI
- AWS, Azure, or GCP background
- Skills with Kubernetes (Helm) and designing CI/CD pipeline
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