Omniverse Architect
Indexed description
This role combines hands-on architecture and development, technical leadership, and client-facing collaboration, offering a strong balance between deep engineering work and strategic influence.
Responsibilities
- Architect and deliver Omniverse-based digital twin and simulation solutions that transform industrial operations
- Lead end‑to‑end solution design: requirements analysis, system architecture, technical roadmaps, and execution
- Design and scale real-time, multi‑GPU, microservices‑based platforms for 3D ecosystems
- Act as a technical leader: mentor teams, decompose complex problems, and ensure successful delivery
- Collaborate with cross‑functional experts across GenAI, AI/ML, IoT, AR/VR, Computer Vision, and R&D
- Build prototypes, proofs of concept, and technology demos to validate new ideas and directions
- Actively contribute to hands‑on development — coding is a core part of the role
- Consult clients on architecture, implementation strategies, and best practices
- Support business development through pre‑sales activities, workshops, presentations, and technical discussions
- Represent SoftServe at external events such as conferences, meetups, and industry forums
- Continuously explore and apply emerging technologies within the NVIDIA Omniverse ecosystem
- Validate research outcomes, conduct feasibility studies, and translate innovation into practical solutions
- 2+ years of experience in a Solution Architect or Technical Architect role, leading complex solutions from vision to delivery
- 5+ years of hands‑on experience with Python and/or C++, with strong problem‑solving skills
- Proven expertise in 3D graphics and simulation environments (process, physics, or agent‑based modeling)
- Practical experience with modern 3D engines such as Unity, Unreal Engine, or Godot, and understanding how they integrate with Omniverse
- Hands‑on experience with NVIDIA Omniverse technologies including USD (Universal Scene Description), MDL (Material Definition Language), Omniverse Kit, Extensions, and Connectors
- Solid understanding of cloud‑native architectures and modern infrastructure, including Kubernetes and CI/CD pipelines
- Experience in at least one of the following domains: IoT, Big Data, AI/ML, Computer Vision, or Generative AI
- Strong communication skills with the ability to present complex technical concepts to both executive and engineering audiences
- Experience running technical workshops and participating in pre‑sales and discovery activities
- A proactive mindset with a strong interest in innovation, experimentation, and continuous learning
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