Physical and Spatial AI Manager

Manager role focused on implementing Physical and Spatial AI solutions for clients, leveraging digital twin, spatial intelligence, and OT modernization. Experience with NVIDIA and Google Cloud Platform ecosystems is crucial. The role involves advising clients, translating business needs into technical strategies, architecting solutions, and implementing AI capabilities into operational workflows.

What you'd actually do

  1. Advise clients on leading practices in digital twin, spatial AI, OT modernization, edge-to-cloud integration, and physical environment transformation
  2. Translate business and operational priorities into transformation roadmaps and technical strategies
  3. Guide clients on platform choices and ecosystem decisions aligned to NVIDIA and/or GCP-based architectures including the role of edge, data, AI, and simulation platforms in enterprise transformation
  4. Architect client solutions focused on digital twins, spatial intelligence, simulation, and OT transformation
  5. Help clients define future-state capability stacks aligned to NVIDIA and/or GCP ecosystems, including edge compute, AI model services, simulation platforms, vision services, data platforms, and enterprise integration layers

Skills

Required

  • Bachelor’s degree in Engineering, Computer Science, Information Systems, Industrial Engineering, Operations, or a related field
  • 6+ years of relevant experience in consulting, industry, or a combination of both
  • Experience working with clients on digital twin, spatial technologies, OT transformation, industrial/edge AI, or related operational technology initiatives
  • Experience aligned to NVIDIA and/or Google Cloud Platform ecosystems, including relevant AI, simulation, edge, vision, geospatial, or platform services
  • Experience aligned to NVIDIA and/or Google Cloud Platform ecosystems for Physical & Spatial AI including but not limited to NVIDIA platforms: Omniverse, Cosmos, Isaac, Metropolis, Jetson/ Orin, NeMo, Groot in real world or simulated environments
  • Experience aligned to NVIDIA and/or Google Cloud Platform ecosystems for Physical & Spatial AI including but not limited to GCP technologies: GDCE, Anthos, Vertex AI, TensorFlow

What the JD emphasized

  • Physical and Spatial AI
  • digital twin
  • spatial intelligence
  • OT modernization
  • NVIDIA
  • Google Cloud Platform

Other signals

  • digital twin
  • spatial intelligence
  • Physical AI
  • OT modernization
  • edge-to-cloud integration
  • NVIDIA
  • Google Cloud Platform